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 from transformers import pipeline pipe = pipeline("question-answering", model="Jun1801/LegalAI_ReaderModule")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Jun1801/LegalAI_ReaderModule") model = AutoModelForQuestionAnswering.from_pretrained("Jun1801/LegalAI_ReaderModule") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e69e838990ddcc223d5758de1288fde04729c4a017aae536a8b46f2804f84149
- Size of remote file:
- 265 MB
- SHA256:
- c1f9ec875ede0afe821b6f92a3a8cd74b4fcabd8b6b6de8fc9f9bc1828f5a976
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