Transformers
TensorBoard
Safetensors
mt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use cwchang/formatted_addr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cwchang/formatted_addr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cwchang/formatted_addr") model = AutoModelForSeq2SeqLM.from_pretrained("cwchang/formatted_addr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a10c0ee30a1ffedd93896bf26c8251a9830d2da7c2bede4e93eea32e9346a444
- Size of remote file:
- 16.3 MB
- SHA256:
- c816e64ca5739a75c4a484bbff22b624131f1b667f423dbeaeaa053b501fdafe
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