Instructions to use neulab/omnitab-large-16shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neulab/omnitab-large-16shot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="neulab/omnitab-large-16shot")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("neulab/omnitab-large-16shot") model = AutoModelForSeq2SeqLM.from_pretrained("neulab/omnitab-large-16shot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fd80c568efa0b71311f2ac74ab881a3fea0661963beff84892b4ec32193e20d
- Size of remote file:
- 813 MB
- SHA256:
- 811d9e92dc9a9790e3fe8ef30189702869efaa61d36350c54cd05c3dc42366e2
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