Instructions to use wesley7137/codebertDM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wesley7137/codebertDM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="wesley7137/codebertDM")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("wesley7137/codebertDM") model = AutoModel.from_pretrained("wesley7137/codebertDM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d72a991c9f38d5623a3ef710fa7b7303a7016b92d01b75ae7e56958855c703a4
- Size of remote file:
- 627 Bytes
- SHA256:
- 4e0714decacf740779d90e264bc383579774e6e87d45decabd3c6099fe788dc7
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