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") - Notebooks
- Google Colab
- Kaggle
Qian Liu commited on
Commit ·
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Parent(s): bace26f
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "tapex-large",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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{
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"_name_or_path": "tapex-large-sql-execution",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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