Instructions to use jetson-models/internlm2-7b-4-bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jetson-models/internlm2-7b-4-bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jetson-models/internlm2-7b-4-bit", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jetson-models/internlm2-7b-4-bit", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f6eb0793bffc8c857fd1a3a884b1079be1ace0843f8c3e5fb0e4dd334c803bd
- Size of remote file:
- 10.1 MB
- SHA256:
- 61b8e740a3b8bba0b886a8a50302430b1ed3a250fdd9ba872154d0706d49a6e0
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