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
| {"img_encoder": {"backbone": "deit3_base_patch16_224_in21ft1k", "dim": 768, "backbone_type": "vit", "pooling": "cls", "output_dim": 256}, "text_encoder": {"backbone": "google/bert_uncased_L-4_H-768_A-12", "backbone_type": "bert", "unimodal_n_layers": 2, "dim": 768, "pooling": "cls", "context_dim": 768, "output_dim": 256, "head_one_neuron": false}} |