Instructions to use hf-tiny-model-private/tiny-random-VisualBertModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-VisualBertModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-VisualBertModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-VisualBertModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-VisualBertModel") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
5e60295 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f52d7cd92d534e2e036237d2e2e3c3473d45191dfc08a78fdbc623b093b795ac
size 435676
|