Instructions to use unum-cloud/uform-vl-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unum-cloud/uform-vl-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="unum-cloud/uform-vl-english")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unum-cloud/uform-vl-english", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e84fbd8abd5842ffb0538037f52c484ed4e564a4e5cafd3d33e8082c853db24
- Size of remote file:
- 573 MB
- SHA256:
- c5ea529a78aa90c8c98e616d2ffb40fe68efd97e2189a9132cc84cc6b9632f81
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