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:
- 338f6f05236768476b19e64e1ff4cd59a7f11af52b6b03f0794c6923b2c263eb
- Size of remote file:
- 8 Bytes
- SHA256:
- dc18a1ce81873b758e5d4a7809a900f8f971478008443297fddf46570605a1a2
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