Instructions to use shareAI/CodeLLaMA-chat-13b-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shareAI/CodeLLaMA-chat-13b-Chinese 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/CodeLLaMA-chat-13b-Chinese")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shareAI/CodeLLaMA-chat-13b-Chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from shareAI/CodeLLaMA-chat-13b-Chinese: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/shareAI/CodeLLaMA-chat-13b-Chinese/resolve/main/tokenizer.json
- Command line
-
hf download hf://shareAI/CodeLLaMA-chat-13b-Chinese/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/shareAI/CodeLLaMA-chat-13b-Chinese/resolve/main/tokenizer.json
1.84 MB
- Xet hash:
- f96846b326b11d2900914fa5b681945a263036ee9381c1fda9c0170e82780925
- Size of remote file:
- 1.84 MB
- SHA256:
- dcb4337ba92f948b322e080f8b59a2a21cfe65dc2aa7ecf7df080ae8aa63c157
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