Instructions to use neulab/omnitab-large-1024shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neulab/omnitab-large-1024shot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="neulab/omnitab-large-1024shot")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("neulab/omnitab-large-1024shot") model = AutoModelForSeq2SeqLM.from_pretrained("neulab/omnitab-large-1024shot", device_map="auto") - 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:ea60620ffc44bb4d1a95ed722209d98d0013bfd9bd7333ac4852d4de7622e284
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size 812743202
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