Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use pavlichenko/roberta-base-comma-correction-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pavlichenko/roberta-base-comma-correction-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pavlichenko/roberta-base-comma-correction-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pavlichenko/roberta-base-comma-correction-classifier") model = AutoModelForSequenceClassification.from_pretrained("pavlichenko/roberta-base-comma-correction-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 486d42a183c5d69d39fbb3eaade3aecb7b63e448a4acdc923a1d38d48eb6f44a
- Size of remote file:
- 4.6 kB
- SHA256:
- 87073008dd8063d87b7fa6931f1ef58e784ded68a5da06e5f2d780c9d6c7734c
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