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")# 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
- Xet hash:
- b2712f58d9442b5af51b6f9fd6dec66c325ff711fae89765c0ab72c9b56e8145
- Size of remote file:
- 499 MB
- SHA256:
- 0fb69ef73144f2ae581a2cd9582d2ec7e2cdd44d99afe82c838ac698e70c050d
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