Table Question Answering
Transformers
Safetensors
English
llama
text-generation
llama-factory
legal
text-generation-inference
Instructions to use sudipto-ducs/InLegalLLaMA-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudipto-ducs/InLegalLLaMA-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="sudipto-ducs/InLegalLLaMA-Instruct")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("sudipto-ducs/InLegalLLaMA-Instruct") model = AutoModelForCausalLM.from_pretrained("sudipto-ducs/InLegalLLaMA-Instruct") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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This model is a fine-tuned version of [sudipto-ducs/InLegalLLaMA](https://huggingface.co/sudipto-ducs/InLegalLLaMA) on the legalkg_dataset_prompts, the legal_semantic_segmentation and the lima datasets.
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# InLegalLLaMA-Instruct
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This model is a fine-tuned version of [sudipto-ducs/InLegalLLaMA](https://huggingface.co/sudipto-ducs/InLegalLLaMA) on the legalkg_dataset_prompts, the legal_semantic_segmentation and the lima datasets.
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