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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd8382942a3623280552adf44eb1a316385f999e87b3c0d803170d35e3ca496c
- Size of remote file:
- 329 MB
- SHA256:
- ba02256f2c214806443dc847fe2750c3fff609bf31f75436cb7e11b84a938a95
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