Instructions to use devagonal/mt5-heritage-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/mt5-heritage-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/mt5-heritage-2") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/mt5-heritage-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74fb2c2eb493cd70782b2b7ecbd4c303ea606be19d17e246c0c8acdb6b515808
- Size of remote file:
- 2.33 GB
- SHA256:
- 2fb1de00bc57ecdc96d703fd14355a1770fab8ff45dd7bdfd83a1f1140b0ea60
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