Instructions to use chestnutlzj/ChatLaw-Text2Vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chestnutlzj/ChatLaw-Text2Vec with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("chestnutlzj/ChatLaw-Text2Vec") model = AutoModel.from_pretrained("chestnutlzj/ChatLaw-Text2Vec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98aa3a238625c887c689ef66d9a24514f853fe3901da27367379a935c1ff389d
- Size of remote file:
- 409 MB
- SHA256:
- 561f7702b92038ccfde7283e13cf07215276139f2b33c7ce6958658752bcc8f5
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