Instructions to use baffo32/pyc2py_alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baffo32/pyc2py_alpha with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("baffo32/pyc2py_alpha") model = AutoModelForSeq2SeqLM.from_pretrained("baffo32/pyc2py_alpha", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c74911c8f03e2c5195459ab8833c64ef7308ca363ae4166162f15f268936885
- Size of remote file:
- 527 kB
- SHA256:
- 2f9385e9ae5b04181264f14734444d3cfde7d6131a0bd0e4f7af473534ccefae
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