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--- |
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tags: autonlp |
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language: en |
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widget: |
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- text: "The scale, variety, and quantity of publicly-available NLP datasets has grown rapidly as researchers propose new tasks, larger models, and novel benchmarks. Datasets is a community library for contemporary NLP designed to support this ecosystem. Datasets aims to standardize end-user interfaces, versioning, and documentation, while providing a lightweight front-end that behaves similarly for small datasets as for internet-scale corpora. The design of the library incorporates a distributed, community-driven approach to adding datasets and documenting usage. After a year of development, the library now includes more than 650 unique datasets, has more than 250 contributors, and has helped support a variety of novel cross-dataset research projects and shared tasks. The library is available at https://github.com/huggingface/datasets." |
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datasets: |
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- AryanLala/autonlp-data-Scientific_Title_Generator |
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co2_eq_emissions: 137.60574081887984 |
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--- |
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# Model Trained Using AutoNLP |
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- Model: Google's Pegasus (https://huggingface.co/google/pegasus-xsum) |
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- Problem type: Summarization |
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- Model ID: 34558227 |
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- CO2 Emissions (in grams): 137.60574081887984 |
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- Spaces: https://huggingface.co/spaces/TitleGenerators/ArxivTitleGenerator |
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- Dataset: arXiv Dataset (https://www.kaggle.com/Cornell-University/arxiv) |
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- Data subset used: https://huggingface.co/datasets/AryanLala/autonlp-data-Scientific_Title_Generator |
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## Validation Metrics |
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- Loss: 2.578599214553833 |
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- Rouge1: 44.8482 |
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- Rouge2: 24.4052 |
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- RougeL: 40.1716 |
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- RougeLsum: 40.1396 |
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- Gen Len: 11.4675 |
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## Social |
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- LinkedIn: https://www.linkedin.com/in/aryanlala/ |
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- Twitter: https://twitter.com/AryanLala20 |
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## Usage |
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You can use cURL to access this model: |
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``` |
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$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/AryanLala/autonlp-Scientific_Title_Generator-34558227 |
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``` |
