Instructions to use hf-internal-testing/tiny-random-TapasForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-TapasForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="hf-internal-testing/tiny-random-TapasForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-TapasForQuestionAnswering") model = AutoModelForTableQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-TapasForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3533bdbad65d2285aeaa6a16d03c1ed3533635ff71e84b12b067c44ddbe6a76
- Size of remote file:
- 4.26 MB
- SHA256:
- 7c648b52385b586a2d7bb35cd6a87343e366ce63da0daa3eeeaf308781a7fb46
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