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:
- dd97ff531d2d4e178cb08517e0b24bff6a9e8ace7a0062804aabe7fd710a3e70
- Size of remote file:
- 2.84 GB
- SHA256:
- 5dc76a9a85c589732e1e2f5d2040ef2b2ff93869690fd12447dc0c6a7b205430
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