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:
- 7b8d8691326ad7a660f3b69588869f6d73e35d6d3f988e71bffed40720b894b5
- Size of remote file:
- 3.71 kB
- SHA256:
- 0b0cca18c8fbdeb2dc84d153079c4097e977a8c4d4a1a16201e9dacb5f972450
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.