Instructions to use jienengchen/ViTamin-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jienengchen/ViTamin-B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jienengchen/ViTamin-B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jienengchen/ViTamin-B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 202bf6b5d4c00910a03fe3961a541405aecfec3384eea7815551b131b43e923a
- Size of remote file:
- 604 MB
- SHA256:
- 51094bfda8c8ec750c8c26d1d1e3814caccfbb12e44f36dd370ff1e7b02a69e3
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