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:
- a9f863e16479bae10dbb2d0d53e08f69c5a432128983bc23e4d1f4aeb0aee8c2
- Size of remote file:
- 109 MB
- SHA256:
- 81b84d7968d6c248762bda3ad2e3518438f6188fea9c7c2173660e7cad3607fd
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