Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Callis6699/roberta-base-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Callis6699/roberta-base-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Callis6699/roberta-base-finetuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Callis6699/roberta-base-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("Callis6699/roberta-base-finetuned-cola") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 185204ccb7140abb7ea248330a5d42e8ce23acd20d6aeb68808efe225b76daab
- Size of remote file:
- 4.92 kB
- SHA256:
- 4a68f4f6dfe3f5ee5235f990f89c8775c1aa09af8a2d0f11342836dbd024ea85
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