Instructions to use shareAI/llama2-13b-Chinese-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shareAI/llama2-13b-Chinese-chat 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="shareAI/llama2-13b-Chinese-chat")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shareAI/llama2-13b-Chinese-chat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from shareAI/llama2-13b-Chinese-chat: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/shareAI/llama2-13b-Chinese-chat/resolve/main/scheduler.pt
- Command line
-
hf download hf://shareAI/llama2-13b-Chinese-chat/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/shareAI/llama2-13b-Chinese-chat/resolve/main/scheduler.pt
627 Bytes
- Xet hash:
- 9c45c3e3bdcc11a8697220b405c8f1f30a0ba1d9ab5e91cfff5873d43c06d75b
- Size of remote file:
- 627 Bytes
- SHA256:
- 9057f7745885bde909041f296a41576191b99224d7cfaf15e603474b3b2e5840
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