Instructions to use AZIIIIIIIIZ/distilbert-base-uncased_finetuned_code_text_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AZIIIIIIIIZ/distilbert-base-uncased_finetuned_code_text_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AZIIIIIIIIZ/distilbert-base-uncased_finetuned_code_text_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AZIIIIIIIIZ/distilbert-base-uncased_finetuned_code_text_classifier") model = AutoModelForSequenceClassification.from_pretrained("AZIIIIIIIIZ/distilbert-base-uncased_finetuned_code_text_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f189e8267a0076b51aa8e5c4287178452aef5bc3548daf3fb786780ebf26c0a6
- Size of remote file:
- 268 MB
- SHA256:
- 91a8d9133cbcded8a20bf08780ee404810efc9ee41da6c5f1f946adde0382849
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