Instructions to use hf-tiny-model-private/tiny-random-TapasForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-TapasForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="hf-tiny-model-private/tiny-random-TapasForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-TapasForQuestionAnswering") model = AutoModelForTableQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-TapasForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f5a56fb8d41261d77a329b0cde3b2296e5972ccf6e9499ae7e162d0150e8189
- Size of remote file:
- 4.26 MB
- SHA256:
- e3f94a41e7e6e13cf1f2199c7d678edf116628301026c95002f2094770b1c47e
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