Instructions to use Isma/v2_58k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isma/v2_58k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Isma/v2_58k")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Isma/v2_58k") model = AutoModel.from_pretrained("Isma/v2_58k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ad285dd9086f39bfc9d090d1a5f2a6874f21c8b49cc685b715ae350e6ccdaa0
- Size of remote file:
- 378 MB
- SHA256:
- faee2f81dce2080583c61b3d03c5e1ccfb25793baad4777efcac99553e0996a4
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