Instructions to use algoprog/mimics-multilabel-roberta-base-787 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use algoprog/mimics-multilabel-roberta-base-787 with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("algoprog/mimics-multilabel-roberta-base-787") model = RobertaForMultiLabelSequenceClassification.from_pretrained("algoprog/mimics-multilabel-roberta-base-787", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b873cbc2fc75c5bf97bf61e0d750a2e7449bcab290b7fff3a08f8513e4ff353
- Size of remote file:
- 503 MB
- SHA256:
- 2a28a3f8c22a86d5d5c8747ce12119e5b0f286639bc36926191ccb02ea6c2616
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