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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b5947e0d83448d9b09b67c666b3fb84dc8ff125caf8793fdc60384a57c32bff
- Size of remote file:
- 499 MB
- SHA256:
- 18b4f0a9c40c23df150e2b2cf1ab9cb108d9ff22b56979747b0fef2e5eeb78a3
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