Summarization
Transformers
PyTorch
Enawené-Nawé
t5
text2text-generation
Trained with AutoTrain
text-generation-inference
# 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="rosetta/summarization_trial_model")# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("rosetta/summarization_trial_model")
model = AutoModelForSeq2SeqLM.from_pretrained("rosetta/summarization_trial_model")Quick Links
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1354552136
- CO2 Emissions (in grams): 1116.1106
Validation Metrics
- Loss: 1.802
- Rouge1: 21.282
- Rouge2: 9.419
- RougeL: 18.171
- RougeLsum: 19.173
- Gen Len: 18.954
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/rosettastone/autotrain-summarization-trial-1354552136
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# Gated model: Login with a HF token with gated access permission hf auth login