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:
- 62e829fa658be59e27dd5c698d0c297ede3bfd58fafb9cc779d728dfe18c73bb
- Size of remote file:
- 5.39 kB
- SHA256:
- b57361bd3df136d106452d8a34502b0e6fe2a74596feef14daa5dc9d043af2d9
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