Instructions to use daydrill/table_qa_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daydrill/table_qa_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="daydrill/table_qa_0")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("daydrill/table_qa_0") model = AutoModelForQuestionAnswering.from_pretrained("daydrill/table_qa_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d5184e6aa22bdfd1a201b852ff43a017364c8e52de3f8e31e0794bda9f13d87
- Size of remote file:
- 440 MB
- SHA256:
- ce844822fcb696b8539ca3538ccdea01a77975cab4e2ec3196980e2dbe1c1ad4
路
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