Instructions to use EmbeddingStudio/fred_t5_query_parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EmbeddingStudio/fred_t5_query_parser with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EmbeddingStudio/fred_t5_query_parser") model = AutoModelForSeq2SeqLM.from_pretrained("EmbeddingStudio/fred_t5_query_parser") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "decoder_start_token_id": 1, | |
| "eos_token_id": 2, | |
| "max_length": 512, | |
| "num_beams": 5, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.36.2" | |
| } | |