Instructions to use aieng-lab/bert-base-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-base-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-base-cased_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/bert-base-cased_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/bert-base-cased_comment-type-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e62c6133a9d339c181ed524a66a5e9702e6507f34363fc6dfc5fae9863057cfc
- Size of remote file:
- 217 MB
- SHA256:
- 34a34d33a917472e77c8aa5ac54c4944cbf1264369ea41330ab4465c9089308e
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