Instructions to use opticalmaterials/opticaltable_sqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use opticalmaterials/opticaltable_sqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="opticalmaterials/opticaltable_sqa")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("opticalmaterials/opticaltable_sqa") model = AutoModelForTableQuestionAnswering.from_pretrained("opticalmaterials/opticaltable_sqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30b27bdfd997204047737e38f42946de2d68b91ed495061f26be117348012af8
- Size of remote file:
- 3.18 kB
- SHA256:
- 3450e09774ae18c327e90b914e30d445b27eb160960f0c0a343a54c1578d4492
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