Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use oliverguhr/spelling-correction-german-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oliverguhr/spelling-correction-german-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("oliverguhr/spelling-correction-german-base") model = AutoModelForSeq2SeqLM.from_pretrained("oliverguhr/spelling-correction-german-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87f3a91b4b3e004757f1f7f18fcae8a8fe813fcef4ebe900cb57f060ac46e0f1
- Size of remote file:
- 990 MB
- SHA256:
- 2280d1431c4e26499e8bf7cfcbe8288ca90448db319f958a6f82eddc74255f1f
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