Instructions to use Isma/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isma/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Isma/test")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Isma/test") model = AutoModel.from_pretrained("Isma/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 273d19b50f1efb076b83d0abf5f02d768071aed1d757383d914367faf2f00f96
- Size of remote file:
- 378 MB
- SHA256:
- 522d6572dcb4cabe467e1733db7a5a358123d11070063529173fe1d1eacef3e0
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