How to use from the
Use from the
Transformers library
# Gated model: Login with a HF token with gated access permission
hf auth login
# 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="lollo21/will-summariser-ai")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("lollo21/will-summariser-ai")
model = AutoModelForSeq2SeqLM.from_pretrained("lollo21/will-summariser-ai")
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Model Trained Using AutoTrain

  • Problem type: Summarization
  • Model ID: 49731119773
  • CO2 Emissions (in grams): 2.5218

Validation Metrics

  • Loss: 2.472
  • Rouge1: 19.992
  • Rouge2: 9.997
  • RougeL: 17.035
  • RougeLsum: 18.476
  • Gen Len: 19.000

Usage

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://api-inference.huggingface.co/Lollo21/autotrain-will-summariser-49731119773
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