Instructions to use microsoft/tapex-large-sql-execution with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/tapex-large-sql-execution with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="microsoft/tapex-large-sql-execution")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/tapex-large-sql-execution") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/tapex-large-sql-execution", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from microsoft/tapex-large-sql-execution: direct link, hf CLI and curl.
- Browser
- Download file 242 Bytes
-
https://huggingface.co/microsoft/tapex-large-sql-execution/resolve/main/generation_config.json
- Command line
-
hf download hf://microsoft/tapex-large-sql-execution/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/microsoft/tapex-large-sql-execution/resolve/main/generation_config.json
242 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": 2, | |
| "forced_bos_token_id": 0, | |
| "forced_eos_token_id": 2, | |
| "num_beams": 4, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.27.0.dev0" | |
| } | |