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:
- 7ccfec01c90ef79a6cf7b43b555fc2f9ded9a1add8dcaa7ac8ed03fe76dc3e06
- Size of remote file:
- 499 MB
- SHA256:
- 47efaf4afa2de3c4466e4dd6f890b310a6bcd0cb8446905bf16769a703b86a34
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