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:
- 810f8717024ca59ba1d1cd7a6328da0192751bc373635f6b580530f2b6db5243
- Size of remote file:
- 4.39 MB
- SHA256:
- 1783b9d3f1585f79e338a4416229da21ef18be60b65b8c1e0cd7fb0dde3674ec
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