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Browse files- README.md +45 -0
- config.json +75 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +323 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +23 -0
- training_args.bin +3 -0
- training_params.json +48 -0
- vocab.json +0 -0
README.md
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---
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tags:
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- autotrain
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- text-generation-inference
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- text-generation
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library_name: transformers
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base_model: EleutherAI/gpt-neo-1.3B
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widget:
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- messages:
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- role: user
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content: What is your favorite condiment?
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license: other
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---
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# Model Trained Using AutoTrain
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This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
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# Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "PATH_TO_THIS_REPO"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(
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model_path,
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device_map="auto",
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torch_dtype='auto'
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).eval()
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# Prompt content: "hi"
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messages = [
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{"role": "user", "content": "hi"}
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]
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
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output_ids = model.generate(input_ids.to('cuda'))
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response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
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# Model response: "Hello! How can I assist you today?"
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print(response)
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```
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config.json
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{
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"_name_or_path": "EleutherAI/gpt-neo-1.3B",
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"activation_function": "gelu_new",
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"architectures": [
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"GPTNeoForCausalLM"
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],
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"attention_dropout": 0,
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"attention_layers": [
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local"
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],
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"attention_types": [
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[
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[
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"global",
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"local"
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],
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12
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]
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],
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"bos_token_id": 50256,
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"classifier_dropout": 0.1,
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"embed_dropout": 0,
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"eos_token_id": 50256,
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"gradient_checkpointing": false,
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": null,
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"layer_norm_epsilon": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "gpt_neo",
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"num_heads": 16,
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"num_layers": 24,
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"resid_dropout": 0,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50,
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"temperature": 0.9
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}
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},
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"tokenizer_class": "GPT2Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"vocab_size": 50257,
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"window_size": 256
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.44.2",
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"use_cache": false
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e16725532dad712a3ccf681f8fa2b2f6ae838a48f989fa9d122783e5c469b68
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size 4993794184
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6f17523196dbc7dde9fcb9c2acadebaa7dc529c1f0f30daf9ce07403a57a35d
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size 268543784
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model.safetensors.index.json
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special_tokens_map.json
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{
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|
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|
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|
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|
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tokenizer.json
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tokenizer_config.json
ADDED
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|
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{
|
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|
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|
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|
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|
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|
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}
|
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|
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|
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"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
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|
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|
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|
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|
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|
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|
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|
training_args.bin
ADDED
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:c13932459ec6804a074d6fbd6c704b495d92353aa86e6d57ba874fd77b62799d
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size 5496
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training_params.json
ADDED
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|
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{
|
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|
3 |
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|
4 |
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|
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|
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|
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|
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"username": "dtumkaya",
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|
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vocab.json
ADDED
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|
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