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:
- 7435515e756a217ac0eda82dbb246588078c39ff4dedf0c6d38daaf98eb3af68
- Size of remote file:
- 5.39 kB
- SHA256:
- ad6d6165191c810bbf9da8a352ad8d8ac94cb786f3d098baa4a10209e0effe11
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