Instructions to use Salesforce/codet5p-220m-bimodal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codet5p-220m-bimodal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Salesforce/codet5p-220m-bimodal", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Salesforce/codet5p-220m-bimodal", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adc3d2cdaaef9dfa4db83df33bebfe4a85a8399fa0974c199addc6ecf3799f42
- Size of remote file:
- 892 MB
- SHA256:
- 42fb839e42789ccaa6e7ed10b6dd8b6906c09bf1e4281e20e5c9eedbea60de6c
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