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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6f9f27bb4688e888cf58278e0895633e00521503aad3a10faa162d75aff3e4f
- Size of remote file:
- 5.11 kB
- SHA256:
- fe24035ec61535d0309492249f1ccf018912d6ab37208cbd8964da8cc71b783b
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