Instructions to use aieng-lab/bert-large-cased_comment-type-java 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-java 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-java")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/bert-large-cased_comment-type-java") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/bert-large-cased_comment-type-java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4db640b4e00f880436dcf11798dd3e1d6fd62b49f63215114f34d802c47f4d8
- Size of remote file:
- 667 MB
- SHA256:
- d2ed9792aab9569b8de303d961f3653c72fe4508ebc0d5d4994daee6177d1f22
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