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:
- 81bdcf546bb28a13f4dbc902c33f51a7b49a7725051ddeae2b38b6267f36ee1a
- Size of remote file:
- 3.44 kB
- SHA256:
- 776fa4ef8f6f1f166b75d3366d3aaca8741a284e685b817922477a28bd89701c
路
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