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:
- 09bb4a9bec499559c1132e4aae4eb69e0ad04196613266212b51defee6fb395c
- Size of remote file:
- 14.6 kB
- SHA256:
- ce3b1b99f2fb25c225ea776d1413f2e31edb772be3e62751da0f4f6eb1e317b3
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