Instructions to use jetson-models/internlm2-chat-7b-4-bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jetson-models/internlm2-chat-7b-4-bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jetson-models/internlm2-chat-7b-4-bit", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jetson-models/internlm2-chat-7b-4-bit", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b6b2dadc12a6a9f7872d331d629142173f075cac39ef68fb128d9dddc15af0f
- Size of remote file:
- 224 kB
- SHA256:
- 6b4bd88db6ee2c75056cd5c06cac209bb2855e67bdc19482341a033fad58b234
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