Instructions to use roscazo/roberta_unbalanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/roberta_unbalanced with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaClass tokenizer = AutoTokenizer.from_pretrained("roscazo/roberta_unbalanced") model = RobertaClass.from_pretrained("roscazo/roberta_unbalanced", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from roscazo/roberta_unbalanced: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/roscazo/roberta_unbalanced/resolve/main/training_args.bin
- Command line
-
hf download hf://roscazo/roberta_unbalanced/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/roscazo/roberta_unbalanced/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- d87edc80b58da7facf771a59efea12dc583fc616755cf9c2d12bd4610364895b
- Size of remote file:
- 5.24 kB
- SHA256:
- 464412ff8518d051f117267828a9431d34fc41900066347416c9930490d48f59
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