Instructions to use microsoft/tapex-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/tapex-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="microsoft/tapex-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/tapex-base") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/tapex-base") - Notebooks
- Google Colab
- Kaggle
Qian Liu commited on
Commit ·
9a7c476
1
Parent(s): b28b9c3
Upload pytorch_model.bin with git-lfs
Browse filesUpdate tapex-base model pre-trained with 5 million SQL data.
- pytorch_model.bin +3 -0
pytorch_model.bin
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