Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Johannes/distilbert-base-uncased-finetuned-code-snippet-quality-scoring with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Johannes/distilbert-base-uncased-finetuned-code-snippet-quality-scoring with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Johannes/distilbert-base-uncased-finetuned-code-snippet-quality-scoring")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Johannes/distilbert-base-uncased-finetuned-code-snippet-quality-scoring") model = AutoModelForSequenceClassification.from_pretrained("Johannes/distilbert-base-uncased-finetuned-code-snippet-quality-scoring") - Notebooks
- Google Colab
- Kaggle
Johannes Hagemann commited on
Commit ·
d7519ba
1
Parent(s): b480db1
End of training
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