Instructions to use jetson-models/internlm2-1_8b-4-bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jetson-models/internlm2-1_8b-4-bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jetson-models/internlm2-1_8b-4-bit", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jetson-models/internlm2-1_8b-4-bit", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f512550e2f2a6beefb0c64848376933d677728b2ccfa7cd6d90c9a68370eaf0
- Size of remote file:
- 168 kB
- SHA256:
- 82d2f715b22ce1476c1de4b22077c51240cd5cfdd04ecb41a22de86f50643dde
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.