Instructions to use rasgaard/20newsgroups-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rasgaard/20newsgroups-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rasgaard/20newsgroups-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rasgaard/20newsgroups-distilbert") model = AutoModelForSequenceClassification.from_pretrained("rasgaard/20newsgroups-distilbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbc9473bcec0b5a2b6f29ae3902efbc6bd2571fb798eb55f2c4893a3767987f1
- Size of remote file:
- 4.47 kB
- SHA256:
- afd1c59beb78beaa23881589c6375d874afee7871768b553d4a03e8bfb3e6ff4
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