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_config.json from shareAI/CodeLLaMA-chat-13b-Chinese: direct link, hf CLI and curl.
- Browser
- Download file 824 Bytes
-
https://huggingface.co/shareAI/CodeLLaMA-chat-13b-Chinese/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://shareAI/CodeLLaMA-chat-13b-Chinese/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/shareAI/CodeLLaMA-chat-13b-Chinese/resolve/main/tokenizer_config.json
824 Bytes
- Xet hash:
- 6e5de251229151b5c0e4371b9925d3385c587f8261b22d7ffa6519286db3822a
- Size of remote file:
- 824 Bytes
- SHA256:
- 1925d511c509861135f23ac36557ac42304ecfc44776eb2ba4184dc877adfb01
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