Instructions to use heavyhelium/electra-small-touche-rawplusctx-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heavyhelium/electra-small-touche-rawplusctx-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heavyhelium/electra-small-touche-rawplusctx-binary")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heavyhelium/electra-small-touche-rawplusctx-binary") model = AutoModelForSequenceClassification.from_pretrained("heavyhelium/electra-small-touche-rawplusctx-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Model save
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Training in progress, epoch 5, checkpoint
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Training in progress, epoch 5
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Training in progress, epoch 1, checkpoint
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Training in progress, epoch 1
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initial commit
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