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:
- 7d72313732c98c9f8bbf6682c08ae0eee18513ebfe667dbbc97f0b87f8072167
- Size of remote file:
- 3.9 kB
- SHA256:
- ffbd37f981583bdb1b6dff9c36612bc22a7ee73f18a854127e8ed2e069d61182
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