Instructions to use aieng-lab/ModernBERT-base_comment-type-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/ModernBERT-base_comment-type-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/ModernBERT-base_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/ModernBERT-base_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/ModernBERT-base_comment-type-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 453f6aa862474598727d1e646bd5346e359829f99e7f7a2c58085f78a0386ab5
- Size of remote file:
- 299 MB
- SHA256:
- 33067cf8891b2a070d7198cdc458a886a1f11558fbd97ba2b380d2e893fd790b
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