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
File size: 132 Bytes
5250b53 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:619656158ade710f57aa1b888b50cedafc10f6d8f16d1c4d8b9d5cbb055f547b
size 4277914
|