Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use heavyhelium/roberta-large-touche-enhanced-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heavyhelium/roberta-large-touche-enhanced-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heavyhelium/roberta-large-touche-enhanced-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heavyhelium/roberta-large-touche-enhanced-binary") model = AutoModelForSequenceClassification.from_pretrained("heavyhelium/roberta-large-touche-enhanced-binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29c44d68f40fa04f626984c32c033ec1a2e7d8f659e8aad58dc7ba6c879f652d
- Size of remote file:
- 5.46 kB
- SHA256:
- 289286e71a74df77914c3392f4d411e1b3deb53c0130d083ae87d9aa1cdd507f
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