Instructions to use Jun1801/LegalAI_ReaderModule with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jun1801/LegalAI_ReaderModule with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Jun1801/LegalAI_ReaderModule")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Jun1801/LegalAI_ReaderModule") model = AutoModelForQuestionAnswering.from_pretrained("Jun1801/LegalAI_ReaderModule", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Jun1801/LegalAI_ReaderModule: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/Jun1801/LegalAI_ReaderModule/resolve/main/model.safetensors
- Command line
-
hf download hf://Jun1801/LegalAI_ReaderModule/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Jun1801/LegalAI_ReaderModule/resolve/main/model.safetensors
265 MB
- Xet hash:
- e69e838990ddcc223d5758de1288fde04729c4a017aae536a8b46f2804f84149
- Size of remote file:
- 265 MB
- SHA256:
- c1f9ec875ede0afe821b6f92a3a8cd74b4fcabd8b6b6de8fc9f9bc1828f5a976
路
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