Instructions to use MrBananaHuman/msa_mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrBananaHuman/msa_mt5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MrBananaHuman/msa_mt5") model = AutoModelForSeq2SeqLM.from_pretrained("MrBananaHuman/msa_mt5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30882efffc6df763a9bb2120324b88a5c81da642fe98d2eeab0d6d016f301e49
- Size of remote file:
- 2.33 GB
- SHA256:
- bff63edf2d7038da29e438d635dc962f1e2f9d85ce8cffc0971f6ca867a64b70
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