Instructions to use hf-internal-testing/tiny-random-ViltModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ViltModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-ViltModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-ViltModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ViltModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfb4d5d5f886889253efc3c80705e06937687c3ba991934c7ce7790a8f2aad2a
- Size of remote file:
- 397 kB
- SHA256:
- c9adce98220d1de29fec2d908c966001f891f5fba3ebb63b1337a370c6efdfd6
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