Push model using huggingface_hub.
Browse files- README.md +5 -23
- config.json +1 -1
- config_sentence_transformers.json +3 -3
- model_head.pkl +1 -1
- tokenizer.json +2 -14
README.md
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@@ -142,7 +142,7 @@ Then you can load this model and run inference.
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from setfit import SetFitModel
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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("
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# Run inference
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preds = model("As of June 2022, the level of food insecurity in the country was 23.2% and in this regard, the northern regions of Armenia were more susceptible. In particular, 6 food insecurity in Tavush Marz was 25%, 31% in Lori Marz, and 35% in Shirak Marz of Armenia")
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```
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| 1.4. Food environments: Examines the conditions—physical, economic, political, social, and cultural—that influence the availability, affordability, and appeal of healthy foods. | 11 |
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| 6.3.3 Awareness and use of the evidence-based / agrifood systems approach: Encourages long-term, integrated planning for agrifood systems, guided by robust data, stakeholder consensus, and strategic foresight. | 30 |
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### Training Hyperparameters
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- batch_size: (16, 16)
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- num_epochs: (1, 1)
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- max_steps: -1
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- sampling_strategy: oversampling
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- body_learning_rate: (2e-05, 1e-05)
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- head_learning_rate: 0.01
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- loss: CosineSimilarityLoss
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- distance_metric: cosine_distance
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- margin: 0.25
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- end_to_end: False
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- use_amp: False
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- warmup_proportion: 0.1
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- l2_weight: 0.01
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- seed: 42
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- eval_max_steps: -1
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- load_best_model_at_end: True
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### Framework Versions
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- Python: 3.
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- SetFit: 1.1.1
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- Sentence Transformers: 3.
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- Transformers: 4.
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- PyTorch: 2.
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- Datasets: 3.3.2
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- Tokenizers: 0.21.0
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from setfit import SetFitModel
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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("faodl/setfit-paraphrase-mpnet-base-v2-13ClassesDesc")
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# Run inference
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preds = model("As of June 2022, the level of food insecurity in the country was 23.2% and in this regard, the northern regions of Armenia were more susceptible. In particular, 6 food insecurity in Tavush Marz was 25%, 31% in Lori Marz, and 35% in Shirak Marz of Armenia")
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```
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| 1.4. Food environments: Examines the conditions—physical, economic, political, social, and cultural—that influence the availability, affordability, and appeal of healthy foods. | 11 |
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| 6.3.3 Awareness and use of the evidence-based / agrifood systems approach: Encourages long-term, integrated planning for agrifood systems, guided by robust data, stakeholder consensus, and strategic foresight. | 30 |
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### Framework Versions
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- Python: 3.11.11
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- SetFit: 1.1.1
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- Sentence Transformers: 3.4.1
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- Transformers: 4.48.3
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- PyTorch: 2.5.1+cu124
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- Datasets: 3.3.2
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- Tokenizers: 0.21.0
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config.json
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"pad_token_id": 1,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"vocab_size": 30527
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}
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"pad_token_id": 1,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.48.3",
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"vocab_size": 30527
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "3.
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"transformers": "4.
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"pytorch": "2.
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},
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"prompts": {},
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"default_prompt_name": null,
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{
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"__version__": {
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"sentence_transformers": "3.4.1",
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"transformers": "4.48.3",
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"pytorch": "2.5.1+cu124"
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},
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"prompts": {},
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"default_prompt_name": null,
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model_head.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 330
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version https://git-lfs.github.com/spec/v1
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oid sha256:db98689610a7f002b5cd1dc46f272466e359b44503ba2bc03ade124d1751a14d
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size 330
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"max_length": 512,
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding": {
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"strategy": "BatchLongest",
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 1,
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"pad_type_id": 0,
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"pad_token": "<pad>"
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},
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"added_tokens": [
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"id": 0,
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"truncation": null,
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"added_tokens": [
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{
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"id": 0,
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