Instructions to use Isma/model_28000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isma/model_28000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Isma/model_28000")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Isma/model_28000") model = AutoModel.from_pretrained("Isma/model_28000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8ec916517647caf2d148d7342c4f7dac826ecd25fb554361bee7ea15b0686c6
- Size of remote file:
- 378 MB
- SHA256:
- f9572a0f376fdec16ca74cf8cae3cee7f47074aaace86cf8a55dacdc5470d91e
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