Format as pipeline
Browse files- model_index.json +20 -0
- noise_scheduler/scheduler_config.json +5 -0
- text_encoder/config.json +24 -0
- pytorch_model.bin → text_encoder/pytorch_model.bin +0 -0
- merges.txt → tokenizer/merges.txt +0 -0
- special_tokens_map.json → tokenizer/special_tokens_map.json +0 -0
- tokenizer_config.json → tokenizer/tokenizer_config.json +0 -0
- vocab.json → tokenizer/vocab.json +0 -0
- config.json → unet/config.json +0 -0
- diffusion_model.pt → unet/diffusion_model.pt +0 -0
model_index.json
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{
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"_class_name": "GLIDE",
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"_module": "modeling_glide.py",
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"noise_scheduler": [
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"diffusers",
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"ClassifierFreeGuidanceScheduler"
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],
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"text_encoder": [
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"diffusers",
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"CLIPTextModel"
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],
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"tokenizer": [
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"transformers",
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"GPT2Tokenizer"
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],
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"unet": [
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"diffusers",
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"UNetGLIDEModel"
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]
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}
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noise_scheduler/scheduler_config.json
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{
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"_class_name": "ClassifierFreeGuidanceScheduler",
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"beta_schedule": "squaredcos_cap_v2",
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"timesteps": 1000
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}
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text_encoder/config.json
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{
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 512,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 2048,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 128,
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"model_type": "clip_text_model",
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"num_attention_heads": 8,
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"num_hidden_layers": 16,
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"pad_token_id": 1,
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"torch_dtype": "float32",
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"transformers_version": "4.20.0.dev0",
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"use_padding_embeddings": true,
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"vocab_size": 50257
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}
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pytorch_model.bin → text_encoder/pytorch_model.bin
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File without changes
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merges.txt → tokenizer/merges.txt
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File without changes
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special_tokens_map.json → tokenizer/special_tokens_map.json
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File without changes
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tokenizer_config.json → tokenizer/tokenizer_config.json
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File without changes
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vocab.json → tokenizer/vocab.json
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File without changes
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config.json → unet/config.json
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File without changes
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diffusion_model.pt → unet/diffusion_model.pt
RENAMED
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File without changes
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