Instructions to use NebulaSense/ContractAssist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NebulaSense/ContractAssist with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NebulaSense/ContractAssist", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Parent(s): 258ab9f
Update README.md
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README.md
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@@ -29,6 +29,29 @@ Instruction tuned FlanT5-XXL on Legal Clauses data generated via ChatGPT. The mo
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# Uses
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</details>
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### Running the model on a GPU in 8bit
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# Uses
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</details>
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### Prompt
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<details>
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<summary> Click to expand </summary>
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```python
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# pip install accelerate peft bitsandbytes
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import torch
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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from peft import PeftModel,PeftConfig
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peft_model_id = 'NebulaSense/ContractAssist'
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peft_config = PeftConfig.from_pretrained(peft_model_id)
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model = AutoModelForSeq2SeqLM.from_pretrained(peft_config.base_model_name_or_path, device_map="auto",load_in_8bit=True)
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tokenizer = AutoTokenizer.from_pretrained(peft_config.base_model_name_or_path)
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model = PeftModel.from_pretrained(model, peft_model_id)
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model.eval()
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```
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</details>
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### Running the model on a GPU in 8bit
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