Instructions to use rasgaard/distilbert-newsgroups-probe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rasgaard/distilbert-newsgroups-probe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rasgaard/distilbert-newsgroups-probe")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rasgaard/distilbert-newsgroups-probe") model = AutoModelForSequenceClassification.from_pretrained("rasgaard/distilbert-newsgroups-probe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76c65198de0daf78514298b490343368ace6a22b4a7428495f860c122b2b771b
- Size of remote file:
- 268 MB
- SHA256:
- 452ea1f419bbd4c9b7c3f47efcc632d4dec051ba521cbecaf78c113e712d72a3
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