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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff6450b2a8ea4284b2383fa528297b6e3da9af2c978e87c4b5a48778983e3a1f
- Size of remote file:
- 1.42 GB
- SHA256:
- 23799e64aaf30b734ead6a2cbc3563c1322d32e1edea279456b85c8e7e9904e1
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