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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1138dd4c916892a75d34e999994bb5585828efde3190f803b8c2ca129520666
- Size of remote file:
- 4.92 kB
- SHA256:
- 6d29898fa75e477db2a92fca17060e402e9230aa26b6f30458a98c3b9181478e
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