Instructions to use Payoto/roberta-base-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Payoto/roberta-base-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Payoto/roberta-base-finetuned-cola")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Payoto/roberta-base-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("Payoto/roberta-base-finetuned-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Payoto/roberta-base-finetuned-cola: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/Payoto/roberta-base-finetuned-cola/resolve/main/training_args.bin
- Command line
-
hf download hf://Payoto/roberta-base-finetuned-cola/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Payoto/roberta-base-finetuned-cola/resolve/main/training_args.bin
2.74 kB
- Xet hash:
- 20482726ad174ea2c67d50e3b3881f0eea494f0a087b9021a45e8111b75d7848
- Size of remote file:
- 2.74 kB
- SHA256:
- a3ed0e2087b1c2aa3cb106e60d7e10ffd7367824a41542bcf441919ca3d0677d
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