Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use dv347/grammar-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dv347/grammar-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dv347/grammar-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dv347/grammar-classifier") model = AutoModelForSequenceClassification.from_pretrained("dv347/grammar-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b7c2d78bd39c9307b2724618083a0cb0f9ff62ad8a3d04700b2660aa33a82d9
- Size of remote file:
- 5.2 kB
- SHA256:
- 0fbe463e67aea980820a295620215ec5756abeeae69f5e7a4c049f1fd331d2af
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