Instructions to use abhi11nav/F-CodeT5_ADC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi11nav/F-CodeT5_ADC with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abhi11nav/F-CodeT5_ADC") model = AutoModelForSeq2SeqLM.from_pretrained("abhi11nav/F-CodeT5_ADC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 037e6db6f85accd0a6c5065b57b4a936c7059eb4b346d7cb302dff6558969725
- Size of remote file:
- 3.58 kB
- SHA256:
- c40118d3f3a46f96afbbd38fb000dca39313ed9c34a4c49f8bbf18cc66364475
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