Instructions to use neulab/omnitab-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neulab/omnitab-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="neulab/omnitab-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("neulab/omnitab-large") model = AutoModelForSeq2SeqLM.from_pretrained("neulab/omnitab-large") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:1575a594ac59a1915511374e04d564ed6a2f8e184ed0cc5ad9c3446adafdca43
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size 812743204
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