Instructions to use seduerr/pai_m2f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seduerr/pai_m2f with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seduerr/pai_m2f") model = AutoModelForSeq2SeqLM.from_pretrained("seduerr/pai_m2f", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from seduerr/pai_m2f: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/seduerr/pai_m2f/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://seduerr/pai_m2f/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/seduerr/pai_m2f/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- aa6530c90fa9d0ed0c21dd97ce77fdaba56f9829b5c74fe09d652965df481af9
- Size of remote file:
- 242 MB
- SHA256:
- f58abcc1a73d65c22cae55010c54aea409e67fbb677ca8a84cdc4e32340cbc4f
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