Instructions to use Neuralearn/autonlp-Summarization-AutoNLP-24135330 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neuralearn/autonlp-Summarization-AutoNLP-24135330 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Neuralearn/autonlp-Summarization-AutoNLP-24135330") model = AutoModelForSeq2SeqLM.from_pretrained("Neuralearn/autonlp-Summarization-AutoNLP-24135330") - Notebooks
- Google Colab
- Kaggle
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Model Trained Using AutoNLP
- Problem type: Summarization
- Model ID: 24135330
- CO2 Emissions (in grams): 155.8470724053265
Validation Metrics
- Loss: 1.369327425956726
- Rouge1: 52.6656
- Rouge2: 30.5879
- RougeL: 40.1268
- RougeLsum: 47.4438
- Gen Len: 75.4625
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 AutoNLP"}' https://huggingface.co/static-proxy/api-inference.huggingface.co/Neuralearn/autonlp-Summarization-AutoNLP-24135330
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