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
- Xet hash:
- 442322517ce5d0dd6eebb2cfbf66e7b3285e82c35b461b00d3d33af5df9007d7
- Size of remote file:
- 242 MB
- SHA256:
- abf3ebd1971e997b34bd6eb943a49599fd9cd985537d18791c622ff96d9beca1
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