Instructions to use seduerr/pai_f2m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seduerr/pai_f2m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seduerr/pai_f2m") model = AutoModelForSeq2SeqLM.from_pretrained("seduerr/pai_f2m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b4ff47d7436a7ce22fc7d932dc6405aaa64876d9bc402199ecc7e4dc055ccfd
- Size of remote file:
- 242 MB
- SHA256:
- 4d3777979d1cbc178a9ff84bc21c92c40c6c2c279c37d1ec723b8dccc8d3a339
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