Text Classification
Transformers
PyTorch
Graphcore
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Jinchen/roberta-base-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jinchen/roberta-base-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jinchen/roberta-base-finetuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jinchen/roberta-base-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("Jinchen/roberta-base-finetuned-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 494e3999a3749dd7c4c18fc5b3007847ea14de34fb34cd269604fefd2c0f97e7
- Size of remote file:
- 249 MB
- SHA256:
- 3bfacfd195051fb278ddd971da0ab2191aa0d5a947c9d74dc460d4ab1b1b4165
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