Instructions to use njt1980/JIRAHelper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use njt1980/JIRAHelper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="njt1980/JIRAHelper")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("njt1980/JIRAHelper") model = AutoModelForTableQuestionAnswering.from_pretrained("njt1980/JIRAHelper") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("njt1980/JIRAHelper")
model = AutoModelForTableQuestionAnswering.from_pretrained("njt1980/JIRAHelper")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="njt1980/JIRAHelper")