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:
- 6af8f4b5dfcb24485bca7abfc1d510f6571d14bf44752bcb257230b2b9a9eab2
- Size of remote file:
- 2.67 kB
- SHA256:
- 564e2373f924b129e6b730961222c897f49a0dfa4daad0be62af274e011dbf99
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