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:
- f134f0094ea4896f6db283a350b9c9e4c8ea43d29f18a29c15fb48712a14e5a3
- Size of remote file:
- 2.16 kB
- SHA256:
- 2d5305fc7342164c6e61013b2d0a219fae993dfdd1b809091447a2e1516be6e5
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