Instructions to use mindthebridge/short-description-generator-6k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mindthebridge/short-description-generator-6k with Transformers:
# 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="mindthebridge/short-description-generator-6k")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mindthebridge/short-description-generator-6k", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 2350573905
- CO2 Emissions (in grams): 135.0574
Validation Metrics
- Loss: 2.306
- Rouge1: 30.629
- Rouge2: 10.966
- RougeL: 27.506
- RougeLsum: 27.571
- Gen Len: 18.191
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/giuliobrugnaro/autotrain-short-description-generator-2350573905
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