Instructions to use aieng-lab/bert-large-cased_comment-type-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/bert-large-cased_comment-type-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/bert-large-cased_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/bert-large-cased_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/bert-large-cased_comment-type-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0d4b66aecaca7826d4b98efa4170f460cf169acbf3e24c985beafff1cf10d94
- Size of remote file:
- 667 MB
- SHA256:
- 1b46ee67f6cb3a60db85a7226361dc0077a2fa8dc9398e9977bc983bad31bc23
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