# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("RoshanAdhithya/bart-4-final")
model = AutoModelForSeq2SeqLM.from_pretrained("RoshanAdhithya/bart-4-final")Quick Links
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 53836126689
- CO2 Emissions (in grams): 0.4522
Validation Metrics
- Loss: 0.543
- Rouge1: 83.724
- Rouge2: 78.463
- RougeL: 83.102
- RougeLsum: 83.115
- Gen Len: 18.902
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/RoshanAdhithya/autotrain-bart-4-53836126689
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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="RoshanAdhithya/bart-4-final")