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
File size: 134 Bytes
9a7c476 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a5ad9ccefcb7e2df3b2c2e655c4d673e53b27ec8d8e1a57b2152865fe9c1de5d
size 557777415
|