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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ffd90fb3e38121045284083ff4bc5c451f5b9b80653adbbbcf7f262c9adc462
- Size of remote file:
- 3.31 kB
- SHA256:
- 235b6f3268af2872e5490b0dddf7b487aa45de761885a1f5b93d4607821f2b69
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