Instructions to use Ashishkr/query_wellformedness_score with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ashishkr/query_wellformedness_score with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ashishkr/query_wellformedness_score")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ashishkr/query_wellformedness_score") model = AutoModelForSequenceClassification.from_pretrained("Ashishkr/query_wellformedness_score") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48e4947a5d8824b2a8408496cadfdefdab0ff4ddf95deaca18b127e0dfb9fb77
- Size of remote file:
- 499 MB
- SHA256:
- ce0fc77efcd464277ad94a9ec5d30c42c2780476f136cff33d2c75f9a112433c
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