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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 038c9d4974d68e6372b24242099f6826c2f55b36823102c0e9e5b34315dfaddb
- Size of remote file:
- 109 MB
- SHA256:
- 47cb685511cb986efae32e6b2a2f4f3a21cd6c17172a850c567db02b27efb95f
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