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:
- 565a47983b5bc91a6d9a0d82bff9495f22bfe0e964fdfbb117a30f7f9351f717
- Size of remote file:
- 10.1 MB
- SHA256:
- c58070b7eb379b210297bac8ad5f3e714b90a5fa18936b62c43a1844eebce03a
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