Instructions to use hanbin/MaMaL-Gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanbin/MaMaL-Gen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hanbin/MaMaL-Gen") model = AutoModelForSeq2SeqLM.from_pretrained("hanbin/MaMaL-Gen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54d42659a4b0c43cfbd424cf197f81a85df95aab830fbd3ac4c317d486394b15
- Size of remote file:
- 892 MB
- SHA256:
- 0413b76b866287697a601082722f4c3cd347c877b41470518a47e1bee035685f
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