Instructions to use zd21/SciGLM-6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zd21/SciGLM-6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zd21/SciGLM-6B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zd21/SciGLM-6B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac64488c0ca5f7b42058166d4dccf0db7d67c05211c6a5133ad56e18540532ce
- Size of remote file:
- 6.78 kB
- SHA256:
- 07980c7613b660d9706b799bb092037ad7c0e82aaff2ca7786bb30b341c704dc
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