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 pytorch_model.bin from Payoto/roberta-base-finetuned-cola: direct link, hf CLI and curl.
- Browser
- Download file 249 MB
-
https://huggingface.co/Payoto/roberta-base-finetuned-cola/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Payoto/roberta-base-finetuned-cola/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Payoto/roberta-base-finetuned-cola/resolve/main/pytorch_model.bin
249 MB
- Xet hash:
- 2bd3cec172a6f54d2e1e4da1575961601858e67478dda12fd840e4ad94c500cf
- Size of remote file:
- 249 MB
- SHA256:
- 04cb12de38db0d22f2ed0555518e025aad91bd948f68c94f5637cb68dfaf1b12
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