# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("wf8888884/bart_large_1")
model = AutoModelForSeq2SeqLM.from_pretrained("wf8888884/bart_large_1")Quick Links
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 45671114213
- CO2 Emissions (in grams): 1.6151
Validation Metrics
- Loss: 1.187
- Rouge1: 40.748
- Rouge2: 19.549
- RougeL: 31.455
- RougeLsum: 39.809
- Gen Len: 105.371
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/wf8888884/autotrain-bart_large_base_1-45671114213
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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="wf8888884/bart_large_1")