Kaludi/data-eurekaQA
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How to use Kaludi/eurekaQA-model with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline
pipe = pipeline("question-answering", model="Kaludi/eurekaQA-model") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("Kaludi/eurekaQA-model")
model = AutoModelForQuestionAnswering.from_pretrained("Kaludi/eurekaQA-model", device_map="auto")EurekaQA is an AI Question Answering model that uses advanced machine learning algorithms to analyze text data and automatically answer questions based on the information contained within. EurekaQA is an extractive model, meaning it selects the relevant information from a given text document to present as the answer to the question. This model can be used in a variety of applications, including customer service, virtual assistants, and information retrieval systems.
Tis model supports a Gradio Web UI to run the csgo-weapon-classification model: