Instructions to use hf-internal-testing/tiny-random-SEWModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SEWModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-SEWModel")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-SEWModel") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-SEWModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b363405c8fe4929db213550a4442e2b387ab7e1fc2a3f06ac20a19834cf47f2
- Size of remote file:
- 220 kB
- SHA256:
- a38e0ed13048d89c0ca2643c109c275c1f75691ded8661ad0fdae3578d9f5b2b
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