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:
- 7965e70044a7cfbf2f0bc229a951672b097567b2d56cfe991b840581028902f5
- Size of remote file:
- 444 kB
- SHA256:
- b5185c9eeaa7f66af52569992c31a3b6958e5e4335131eb3a7eb8b4b32941720
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