Instructions to use AnonymousSub/SR_declutr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SR_declutr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/SR_declutr")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SR_declutr") model = AutoModel.from_pretrained("AnonymousSub/SR_declutr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1a2bf5fe67a80efa6f7fe815098e403e1251847f780d85b84b34297103f5d48
- Size of remote file:
- 329 MB
- SHA256:
- 59a5903e0f67c7075b3912fbe6ccf79db3af6b97f148f625f8b0a10dce753175
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