Transformers
TensorBoard
Safetensors
mt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use chienweichang/formatted_address with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chienweichang/formatted_address with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chienweichang/formatted_address") model = AutoModelForSeq2SeqLM.from_pretrained("chienweichang/formatted_address", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from chienweichang/formatted_address: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/chienweichang/formatted_address/resolve/main/tokenizer.json
- Command line
-
hf download hf://chienweichang/formatted_address/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/chienweichang/formatted_address/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- a10c0ee30a1ffedd93896bf26c8251a9830d2da7c2bede4e93eea32e9346a444
- Size of remote file:
- 16.3 MB
- SHA256:
- c816e64ca5739a75c4a484bbff22b624131f1b667f423dbeaeaa053b501fdafe
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