Instructions to use emillykkejensen/daT5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emillykkejensen/daT5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("emillykkejensen/daT5-large") model = AutoModelForSeq2SeqLM.from_pretrained("emillykkejensen/daT5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67b3b7e8e30d282260ad478b140b728bf7abb5d9e87836b2d5411c8dc24ee56f
- Size of remote file:
- 3.06 GB
- SHA256:
- b670a142a70def2dc27694a67ab973ab1c830a07998f40d998c91d56c4c1d437
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