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:
- 2d298e57b6acbc61ddd46b042c2a2c03b42becb9a074e65f7c12bf482ae12af9
- Size of remote file:
- 1.02 MB
- SHA256:
- e7dc4c393423b76e4373e5157ddc34803a0189ba96b21ddbb40269d31468a6f2
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