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 pytorch_model.bin from nikuznetsov/roberta-base-finetuned-cola: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/nikuznetsov/roberta-base-finetuned-cola/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nikuznetsov/roberta-base-finetuned-cola/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nikuznetsov/roberta-base-finetuned-cola/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- d0d92cca1c71d0a962e5ba6f7bb8d8e7d632a3afb9d45037b87c2ac8f036f2aa
- Size of remote file:
- 499 MB
- SHA256:
- 5b9fb655401117bdeda0211ca16da53e0ebd26cac9a75b810d3f1e8bd754eed9
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