Instructions to use chkla/roberta-argument with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chkla/roberta-argument with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chkla/roberta-argument")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chkla/roberta-argument") model = AutoModelForSequenceClassification.from_pretrained("chkla/roberta-argument") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd0f765559a7c979d77ae336ef123c943ccf8d70f77544d563ab50c42c4c38e0
- Size of remote file:
- 499 MB
- SHA256:
- 95774bf144e6794e6dd49c2bbfafbb7de79658f6e3cf3fe8e10b4da1890210d9
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