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:
- 08c4debd393508775f64ec26926cf3f3fa387da1e2d05dfe922920268afdbdf9
- Size of remote file:
- 329 MB
- SHA256:
- 6b30e7658c34b6e75a86875b756e67870130ec91a9b4e501696c7deb3b6946a8
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