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:
- 68e2386cb10c6ca928e934340cc03662298385bddabad947ce0e5a876860c2d8
- Size of remote file:
- 444 kB
- SHA256:
- 174d5648ec0e3bd78ddfeec339c3eca715841cc655718688794f961a7b112ea7
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