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:
- e3a15519058788f80893ec8f65d5a9651976be7fb4dc936e09e5286db566ea2f
- Size of remote file:
- 12.5 GB
- SHA256:
- edef24ac08b0a6b6525c9005673f9603e23dba575380b3c8de7216ca5aa54fe4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.