Instructions to use GermanT5/t5-efficient-oscar-german-small-el32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GermanT5/t5-efficient-oscar-german-small-el32 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GermanT5/t5-efficient-oscar-german-small-el32") model = AutoModelForSeq2SeqLM.from_pretrained("GermanT5/t5-efficient-oscar-german-small-el32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00e342b3e1b38c5e96025964f8a5fe3ed203a67a8d1aa040dfca35c308b1e41f
- Size of remote file:
- 286 MB
- SHA256:
- b135c5a73758cdd85decca5c413f6428868d5326756b321ba8523af501bf8a73
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