Instructions to use k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adamw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adamw with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adamw") model = AutoModelForSeq2SeqLM.from_pretrained("k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adamw", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddf4dcc70ed642bf17c87900469ed1d981be1a8186b042817bd04b32ae6c9b47
- Size of remote file:
- 242 MB
- SHA256:
- 236ac2a99de8898e9adfad014e34dc559fd10b5c876168a4128b74cab112d650
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