Instructions to use AnonymousSub/SR_cline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SR_cline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/SR_cline")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SR_cline") model = AutoModel.from_pretrained("AnonymousSub/SR_cline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 913dc11e5f964b317a590ce9ec5c8d0ead58374d59c56c0248598c3ac84303bc
- Size of remote file:
- 499 MB
- SHA256:
- 8edc88c3e19bbc8c47033a127cb7d6b387af7a0d43d4009fd6f5ba11e942abbc
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