Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use nikuznetsov/roberta-base-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikuznetsov/roberta-base-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nikuznetsov/roberta-base-finetuned-cola")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nikuznetsov/roberta-base-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("nikuznetsov/roberta-base-finetuned-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nikuznetsov/roberta-base-finetuned-cola: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/nikuznetsov/roberta-base-finetuned-cola/resolve/main/training_args.bin
- Command line
-
hf download hf://nikuznetsov/roberta-base-finetuned-cola/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nikuznetsov/roberta-base-finetuned-cola/resolve/main/training_args.bin
3.12 kB
- Xet hash:
- 5dae1898dea38801cd2d9263c8cf29a8a764c66f462658ad68211c905c669e5e
- Size of remote file:
- 3.12 kB
- SHA256:
- d50ac4c80c3e0da1c3e3776c6811f6b04896730fead51fb22e1eb78e07072eda
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