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:
- cb97133a70c936acdb7eeddf83790ce33973a83039e8cd68a014b3ae09739303
- Size of remote file:
- 2.84 GB
- SHA256:
- 4917ea53555f4c2bb187d24353e5a1cb4f0d8e0b5d60f13768f5f7485e13d889
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