Instructions to use vishnun/codenlbert-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun/codenlbert-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vishnun/codenlbert-tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vishnun/codenlbert-tiny") model = AutoModelForSequenceClassification.from_pretrained("vishnun/codenlbert-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7747dca5f31be45053c109b7f8447efac01e5b96b33b032f68aebba01e97ced
- Size of remote file:
- 17.6 MB
- SHA256:
- 2d40f4e85cebf7590a160fdcb8343974dfca92e60f1b51a1893b71d9b38b6a90
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