Instructions to use aieng-lab/ModernBERT-large_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-large_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-large_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/ModernBERT-large_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/ModernBERT-large_comment-type-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d189a82e4933d1c2fcb0fe7fad75cfd5ee6a0c8fb2c7bd1c8506e7ec163a815e
- Size of remote file:
- 792 MB
- SHA256:
- 7c1ad7dbdbfaefb1640fdebd5cb618d090208018caad05d417a21d9091480d35
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