Instructions to use Yunij/RobertaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yunij/RobertaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yunij/RobertaModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yunij/RobertaModel") model = AutoModelForSequenceClassification.from_pretrained("Yunij/RobertaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Yunij/RobertaModel: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/Yunij/RobertaModel/resolve/main/training_args.bin
- Command line
-
hf download hf://Yunij/RobertaModel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Yunij/RobertaModel/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- f6df19e935db685ca68767285e655df78d833192a84197b4c93412d91c31c650
- Size of remote file:
- 3.96 kB
- SHA256:
- d348166ecd42c43f50e3e0ff132e643b625d1563f368bdc43d29ed4e6b4de00e
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