Instructions to use heavyhelium/electra-small-touche-base-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heavyhelium/electra-small-touche-base-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heavyhelium/electra-small-touche-base-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heavyhelium/electra-small-touche-base-binary") model = AutoModelForSequenceClassification.from_pretrained("heavyhelium/electra-small-touche-base-binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a3b96836b388ff5958a2d5f2d9e72fa9ede7795c9f62d40a25d60cd90e8f9d0
- Size of remote file:
- 109 MB
- SHA256:
- 3db8bdbc0b2d87c1f3d78389504db5af7bacf4489334138009d4ac77628ee068
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