Instructions to use leukas/mt5-base-nc16-400-deen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leukas/mt5-base-nc16-400-deen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("leukas/mt5-base-nc16-400-deen") model = AutoModelForSeq2SeqLM.from_pretrained("leukas/mt5-base-nc16-400-deen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dfa7fb43e56771d3a12067f625a3d5ccde75fc3151ef8537793c701f32917e3
- Size of remote file:
- 2.33 GB
- SHA256:
- 711caddba53b4ee6ec59b30ff09f25ced779b9e4240d7e494e20777b56b34b15
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