Instructions to use AnonymousSub/declutr-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/declutr-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AnonymousSub/declutr-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/declutr-model") model = AutoModelForMaskedLM.from_pretrained("AnonymousSub/declutr-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e78f507df93501ac91224c442fe080df92ee8cfe35407537851619e87b6bd3b0
- Size of remote file:
- 329 MB
- SHA256:
- f9118c5658ea5eb29f3dec1a64b89cdd5798b8f6e451f63993b5c3b22348fa71
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