Instructions to use lovodkin93/multi-review-fic-coverage-evaluator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lovodkin93/multi-review-fic-coverage-evaluator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lovodkin93/multi-review-fic-coverage-evaluator") model = AutoModelForSeq2SeqLM.from_pretrained("lovodkin93/multi-review-fic-coverage-evaluator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7f3ac785464df9b16ef6be6f3bdd2456f4f1b979abec290bb6f21b1e807eafa
- Size of remote file:
- 4.41 kB
- SHA256:
- cc06968df6ffa080e66881d54e5b42b706b771520ad1bde5994d5f71263e9760
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