Instructions to use fffffly/roberta_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fffffly/roberta_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fffffly/roberta_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fffffly/roberta_model") model = AutoModelForSequenceClassification.from_pretrained("fffffly/roberta_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5187d44445a24835915c4a37840bad5887a37ea684fa0367f969ad637fa9bd90
- Size of remote file:
- 3.9 kB
- SHA256:
- d276e071c034b48f0bf49a95b853d80bfd550cb43e7ecc977fb90ca232dafa30
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