Instructions to use Enoch/cocosoda-codebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Enoch/cocosoda-codebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Enoch/cocosoda-codebert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Enoch/cocosoda-codebert") model = AutoModel.from_pretrained("Enoch/cocosoda-codebert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76082c127545c6a6000b6f81d55e8ef1ce44f0b00f62a6de4da9b380f0058096
- Size of remote file:
- 499 MB
- SHA256:
- cba7cf018990468839865c457aba500156dbbb6311ca4f289f2ed0d2e25d923c
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