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
Download flax_model.msgpack from baffo32/pyc2py_alpha: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/baffo32/pyc2py_alpha/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://baffo32/pyc2py_alpha/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/baffo32/pyc2py_alpha/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- bd91bc852c32a2d56b5b3fbb69d9f0e484340d2132ae041910dbce6dfd18c592
- Size of remote file:
- 892 MB
- SHA256:
- 4bd2fe26b98169297d7e847b97de06aa326fc2ed7e17fb376387139f87cbd3ae
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