Instructions to use microsoft/tapex-large-finetuned-wtq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/tapex-large-finetuned-wtq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="microsoft/tapex-large-finetuned-wtq")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/tapex-large-finetuned-wtq") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/tapex-large-finetuned-wtq") - Notebooks
- Google Colab
- Kaggle
is it possible to support multiple languages, like Chinese?
#5
by Abel-yabo - opened
is it possible to support multiple languages, like Chinese?
@Abel-yabo Hello, thanks for your interest on tapex! I think the similar procedure can be also applied in Chinese - you may finetune the tapex-large model on your dataset to see if it works well!
SivilTaram changed discussion status to closed