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
File size: 621 Bytes
51f9f5d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"text_encoder": {
"model_type": "bert",
"dim": 768,
"context_dim": 768,
"vocab_size": 30522,
"padding_idx": 0,
"num_layers": 4,
"num_heads": 12,
"embedding_dim": 256,
"multimodal_layers_ids": [2, 3],
"head_one_neuron": false,
"pooling": "cls",
"max_position_embeddings": 77,
"dropout_prob": 0.1
},
"image_encoder": {
"dim": 768,
"patch_size": 16,
"image_size": 224,
"num_layers": 12,
"num_heads": 12,
"embedding_dim": 256,
"pooling": "cls"
}
} |