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:
- 7888c3b79c01032c859d2f0c8608edd1cb45c20f1c88ca9086794c59f08bc960
- Size of remote file:
- 2.84 GB
- SHA256:
- 63a0dd3c105bbb019c5eb0dbf6e70ef814156d36401bce90c2911c0541fcc4e1
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