Instructions to use samgreen/internlm2-chat-20b-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samgreen/internlm2-chat-20b-nf4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="samgreen/internlm2-chat-20b-nf4", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("samgreen/internlm2-chat-20b-nf4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97e2bed84bb1cf96478c72c43a60eb7989fdbbe5f08d4d165d9f7161c6c64a2d
- Size of remote file:
- 1.99 GB
- SHA256:
- d5d9f705035ef05005a734069defdfa5465c70e9846e47cc154817b7351285a7
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