Instructions to use andaqu/roBERTa-pers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andaqu/roBERTa-pers with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andaqu/roBERTa-pers") model = RobertaForMultiLabelSequenceClassification.from_pretrained("andaqu/roBERTa-pers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from andaqu/roBERTa-pers: direct link, hf CLI and curl.
- Browser
- Download file 3.07 kB
-
https://huggingface.co/andaqu/roBERTa-pers/resolve/main/training_args.bin
- Command line
-
hf download hf://andaqu/roBERTa-pers/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/andaqu/roBERTa-pers/resolve/main/training_args.bin
3.07 kB
- Xet hash:
- 23fac62f5681ebbc3fff374781197281e140288201a5fd9a519e908795ab44b0
- Size of remote file:
- 3.07 kB
- SHA256:
- 7171eb8955d74d9f91ca8c46714f512445dd06af2a42a9b7bf0ba50a0f2e10bb
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