Instructions to use cczhong/internlm-chat-7b-4bit-gptq-safetensor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cczhong/internlm-chat-7b-4bit-gptq-safetensor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cczhong/internlm-chat-7b-4bit-gptq-safetensor", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cczhong/internlm-chat-7b-4bit-gptq-safetensor", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfe822c2f72cebd729af0a8716dcd4f56105fe4289a36b96b22bfcedad6a9f44
- Size of remote file:
- 8.17 GB
- SHA256:
- 0b88c68e66e0ad61a370818c404e6fae2c14a7dbe686a4145668c14a3553172e
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