Kaludi/data-quick-summarization
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How to use Kaludi/Quick-Summarization with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "summarization" 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("summarization", model="Kaludi/Quick-Summarization") # Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Kaludi/Quick-Summarization")
model = AutoModelForSeq2SeqLM.from_pretrained("Kaludi/Quick-Summarization")This is a Text Summarization Model that has been trained by Kaludi to Transform long and complex texts into concise and meaningful summaries. Get a quick and accurate overview of any document in seconds, saving you time and effort.
Tis model supports a Gradio Web UI to run the data-food-classification model:
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://huggingface.co/proxy/api-inference.huggingface.co/Kaludi/autotrain-quik-sum-3280991391