Instructions to use vivekvar/indictok-256k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vivekvar/indictok-256k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vivekvar/indictok-256k")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vivekvar/indictok-256k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df539c115e001f6cc72da27de1ed0a2c971aad3d625863e389cd805162582895
- Size of remote file:
- 14.1 MB
- SHA256:
- 55ee2599dee3322262fd3bff4e8d03eaa0f80f1d4aa2285c41d8af2c48e18e5d
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