Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use heavyhelium/roberta-large-touche-rawplusctx-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heavyhelium/roberta-large-touche-rawplusctx-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heavyhelium/roberta-large-touche-rawplusctx-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heavyhelium/roberta-large-touche-rawplusctx-binary") model = AutoModelForSequenceClassification.from_pretrained("heavyhelium/roberta-large-touche-rawplusctx-binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32b2ee7e636f322072f92151c02a8cdf23438dde25d7a3e02b942e2ed46fe0a6
- Size of remote file:
- 5.46 kB
- SHA256:
- 979ecf5050764e2be43c5c58f8168fde50399074c57ed47d017ef3fc27be11aa
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