Instructions to use unicamp-dl/InRanker-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unicamp-dl/InRanker-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/InRanker-base") model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/InRanker-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bf71bc2c53ce242bb3eeb08dc92409793e0dc8a5dcafaf3b54c8183fe8177f8
- Size of remote file:
- 892 MB
- SHA256:
- 7160fc752973b1f02302bd25a42a356d0de1013cf1baedc7d8e295e274d3d27d
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