# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("nahorh/text_summarization_48_91_rouge_knowdocument")
model = AutoModelForSeq2SeqLM.from_pretrained("nahorh/text_summarization_48_91_rouge_knowdocument")Quick Links
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 40969105857
- CO2 Emissions (in grams): 27.2635
Validation Metrics
- Loss: 0.753
- Rouge1: 48.910
- Rouge2: 28.780
- RougeL: 38.796
- RougeLsum: 46.262
- Gen Len: 68.490
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/nahorh/autotrain-text_summarization_knowdocument-40969105857
- Downloads last month
- 9
# 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="nahorh/text_summarization_48_91_rouge_knowdocument")