Instructions to use microsoft/tapex-base-finetuned-wtq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/tapex-base-finetuned-wtq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="microsoft/tapex-base-finetuned-wtq")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/tapex-base-finetuned-wtq") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/tapex-base-finetuned-wtq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Qian Liu commited on
Commit ·
375cf42
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Parent(s): 462e090
Upload pytorch_model.bin with git-lfs
Browse files- pytorch_model.bin +3 -0
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