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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from hf-internal-testing/tiny-random-TapasForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 4.28 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-TapasForQuestionAnswering/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-TapasForQuestionAnswering@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-TapasForQuestionAnswering/resolve/refs%2Fpr%2F1/pytorch_model.bin
4.28 MB
- Xet hash:
- 8c6d16d9bc7d4b4d264d375f45aa8cd902e65e1801936570af5535f5cd3fde6c
- Size of remote file:
- 4.28 MB
- SHA256:
- e9aebf4eae6735ba4958b64caf5a5e5f5a63ab66cb0feef70b29fd3c398ec9c5
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