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:
- 99878ac67960c4fdd9f7c2ecae17bd2ca3617f7ef0930ae68ae49ec65e5e8bb3
- Size of remote file:
- 4.99 GB
- SHA256:
- b6a7dd66bd7a803772ed975446631c0f2effc06de0f711d7fb7993a524e65aac
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