Instructions to use nielsr/tapex-large-finetuned-sqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/tapex-large-finetuned-sqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="nielsr/tapex-large-finetuned-sqa")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nielsr/tapex-large-finetuned-sqa") model = AutoModelForSeq2SeqLM.from_pretrained("nielsr/tapex-large-finetuned-sqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 625873bcae80b26e31485d173c0e6c36f0fd46066114fdf6e290637a51511950
- Size of remote file:
- 1.63 GB
- SHA256:
- 6a1e0914d8db6278122435c7c529c7b16931d2d00f427e3b691fc264da903f89
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