Instructions to use AnonymousSub/declutr-s10-AR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/declutr-s10-AR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousSub/declutr-s10-AR")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/declutr-s10-AR") model = AutoModelForSequenceClassification.from_pretrained("AnonymousSub/declutr-s10-AR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 675707947c591ead633e12b35fe1a19bc3434f0985c22aae836595b815791601
- Size of remote file:
- 331 MB
- SHA256:
- d342e6fdd440af2ffd0ace346462c5155236079d1bf031505c8d60eb8d7b2e84
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