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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:da7952e7f5efc47ecded3cb3a7c360965398bbe88d390e50b9a03147fb9ec59c
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size 812743202
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