Instructions to use AnonymousSub/AR_declutr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/AR_declutr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/AR_declutr")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/AR_declutr") model = AutoModel.from_pretrained("AnonymousSub/AR_declutr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7884c2ca644d752e80eda050881b32c5b2cdc3445aa02da40e655c5730824e2f
- Size of remote file:
- 329 MB
- SHA256:
- d1ec8660a9e53523ca16227e417da7a5616c9c7818b060540ce3fc122d45900f
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