Instructions to use hf-internal-testing/tiny-random-Kosmos2Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Kosmos2Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-Kosmos2Model")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-Kosmos2Model") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-Kosmos2Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a35f3771516f4528b56539b1c5eee6e09b43443c34a308bdbee1a34ae850cb2
- Size of remote file:
- 444 kB
- SHA256:
- 354f491328550eaa3c79eee2d57c06e3e6be8dcfbb514020f7d6d8bea934d2da
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