Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use heavyhelium/roberta-large-touche-base-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heavyhelium/roberta-large-touche-base-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heavyhelium/roberta-large-touche-base-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heavyhelium/roberta-large-touche-base-binary") model = AutoModelForSequenceClassification.from_pretrained("heavyhelium/roberta-large-touche-base-binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 261f0bfb9fc5ace09a2762fdb0ee37c59735de320fcbf96b9098f4b96e82006b
- Size of remote file:
- 2.84 GB
- SHA256:
- eb6bfb6fa01a48fa245c3e19f8206c32e4a9d5570b921a740819ac33741108f5
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