Instructions to use addy88/distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/distilroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="addy88/distilroberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("addy88/distilroberta-base") model = AutoModelForSequenceClassification.from_pretrained("addy88/distilroberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c44d7066783060de7b53012663155811b40706e9fbdd9f292d2ac1998fa0d20
- Size of remote file:
- 3.64 kB
- SHA256:
- b12688f303173b5fe4b92c33887dc7d4feb74c139a85ca9edb16793fe16e5deb
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