Text Classification
Transformers
PyTorch
Safetensors
English
roberta
Eval Results (legacy)
text-embeddings-inference
Instructions to use AdamCodd/distilroberta-query-wellformedness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdamCodd/distilroberta-query-wellformedness with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AdamCodd/distilroberta-query-wellformedness")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AdamCodd/distilroberta-query-wellformedness") model = AutoModelForSequenceClassification.from_pretrained("AdamCodd/distilroberta-query-wellformedness", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Safetensors version
Browse files
pytorch_model.safetensors
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