Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
debagreement
stance
debate
disagreement
text-embeddings-inference
Instructions to use Jiyog/roberta-base-debagreement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiyog/roberta-base-debagreement with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jiyog/roberta-base-debagreement")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jiyog/roberta-base-debagreement") model = AutoModelForSequenceClassification.from_pretrained("Jiyog/roberta-base-debagreement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e1cb28c3b3c2f1c9f5776633001c17f31ef0d088ec7b85f4985e677bd67f21e
- Size of remote file:
- 5.2 kB
- SHA256:
- 237c63bb48750b287d1a17958d4da75fd045c986ef94fa469d1edafaaba89ed1
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