# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("chenhg8680/mt5-sum-v1")
model = AutoModelForSeq2SeqLM.from_pretrained("chenhg8680/mt5-sum-v1")Quick Links
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 38578101674
- CO2 Emissions (in grams): 3.8575
Validation Metrics
- Loss: 2.309
- Rouge1: 0.000
- Rouge2: 0.000
- RougeL: 0.000
- RougeLsum: 0.000
- Gen Len: 9.000
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/chenhg8680/autotrain-mt5-sum-38578101674
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# 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="chenhg8680/mt5-sum-v1")