Instructions to use saadamin2k13/byT5_ft_semantic_parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saadamin2k13/byT5_ft_semantic_parser with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("saadamin2k13/byT5_ft_semantic_parser") model = AutoModelForSeq2SeqLM.from_pretrained("saadamin2k13/byT5_ft_semantic_parser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 163 Bytes
84e4694 | 1 2 3 4 5 6 7 8 9 | {
"_from_model_config": true,
"decoder_start_token_id": 0,
"eos_token_id": 1,
"max_length": 512,
"pad_token_id": 0,
"transformers_version": "4.30.2"
}
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