Instructions to use DayCardoso/roberta-base-multi-head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DayCardoso/roberta-base-multi-head with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForMultiLabelMultiHead tokenizer = AutoTokenizer.from_pretrained("DayCardoso/roberta-base-multi-head") model = RobertaForMultiLabelMultiHead.from_pretrained("DayCardoso/roberta-base-multi-head", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DayCardoso/roberta-base-multi-head: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/DayCardoso/roberta-base-multi-head/resolve/main/training_args.bin
- Command line
-
hf download hf://DayCardoso/roberta-base-multi-head/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DayCardoso/roberta-base-multi-head/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- c59255bfcf1c8a07a7516472210e7e43818f19d180538cf81c6ae11d7af39111
- Size of remote file:
- 5.43 kB
- SHA256:
- 98340f0082a087f7f1a653b3d6ce4880ec594bfdeda51ab5b5528703929f2520
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