Instructions to use aieng-lab/codebert-base_comment-type-pharo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_comment-type-pharo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codebert-base_comment-type-pharo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_comment-type-pharo") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codebert-base_comment-type-pharo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e06f7c8c3c477df623bc551f2b58e5c1d56e561fec75db977e298f35046a3b6c
- Size of remote file:
- 249 MB
- SHA256:
- 380d7c7b08df26f0f9fc631aa298c279b7f98aa9ec9024cbe6713a9776a32b7e
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