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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:16524cfe89b720ad9bf1b70d14dfb9a86214792451b5918410aeb41704b16cf6
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size 892362016
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