Instructions to use MatiasJ/norgec_mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatiasJ/norgec_mt5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MatiasJ/norgec_mt5") model = AutoModelForSeq2SeqLM.from_pretrained("MatiasJ/norgec_mt5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6598bb986de2dc021a303e58ebff5496714a281dd66548b741bfc43cd77aac5
- Size of remote file:
- 2.33 GB
- SHA256:
- 8637fc558642d73317e8de75800512eaf1e74620e9501ad698a12bb375504257
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