Instructions to use andrejmiscic/simcls-scorer-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andrejmiscic/simcls-scorer-xsum with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="andrejmiscic/simcls-scorer-xsum")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("andrejmiscic/simcls-scorer-xsum") model = AutoModel.from_pretrained("andrejmiscic/simcls-scorer-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (2a038dbddb4e0e960d60e751e0822e05845d9169) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>281512b
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Create README.md
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Added tokenizer files
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Added pytorch model
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initial commit
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