Instructions to use hackyon/enct5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hackyon/enct5-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hackyon/enct5-base", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("hackyon/enct5-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c05ab0abc7def1ed0e74148e90a71deaa79944f11ed7dcab68206ff8bc2f67e
- Size of remote file:
- 476 MB
- SHA256:
- c9e524b32cda618388318ac82325a4c094dbfae0fef12a0473bce49e80832ae9
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