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:
- 07dc5d142f2faf20fb233bb8fcdad679c7e13395045760c7b9e7503bbe427e4e
- Size of remote file:
- 3.13 GB
- SHA256:
- f1185b6b3382ee0685b966a56ad35dbe66376972d14f588b5080580884cc5db4
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