Instructions to use theta/sentcore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theta/sentcore with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="theta/sentcore")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("theta/sentcore") model = AutoModelForTokenClassification.from_pretrained("theta/sentcore") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dc2ed7ad3ee6f8f4bdd2a84b313072cbb4530d4b2cfb4e670889116a04e7dda
- Size of remote file:
- 407 MB
- SHA256:
- cd1672d1bb525c8c724511b678733d36a02a7ca806a73ab7b04f04efb7a84c9e
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