Instructions to use aieng-lab/roberta-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/roberta-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/roberta-base_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/roberta-base_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/roberta-base_comment-type-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2db3634f3ea7b0b5619f4cc6b1396ffc24d64ae3b3259cbebb9b3230e2db8a62
- Size of remote file:
- 249 MB
- SHA256:
- 11af714ef1c36f8494a785028351963f4e59431189ee98db7e85c6c8890a29d2
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