Instructions to use drt/srtk-scorer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drt/srtk-scorer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="drt/srtk-scorer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("drt/srtk-scorer") model = AutoModelForMaskedLM.from_pretrained("drt/srtk-scorer", 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 (69a351ca20b2c1796b078e95814edc2f2df96229) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>53f281a
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Update README.md
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Add a model trained on wikidata, freebase and dbpedia
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initial commit
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