Instructions to use nielsr/tapex-large-finetuned-wtq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/tapex-large-finetuned-wtq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="nielsr/tapex-large-finetuned-wtq")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nielsr/tapex-large-finetuned-wtq") model = AutoModelForSeq2SeqLM.from_pretrained("nielsr/tapex-large-finetuned-wtq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75a27659209fd441978f75251684011c4c9e747ced834e784c32f4552d2666df
- Size of remote file:
- 1.63 GB
- SHA256:
- 132f6af1faac4eb4f69057ce1e1b3114ee7370e61235037f2c0f8e22426b406a
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