Instructions to use FabsCool/autotrain-T5Base1_1-728922203 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FabsCool/autotrain-T5Base1_1-728922203 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FabsCool/autotrain-T5Base1_1-728922203") model = AutoModelForSeq2SeqLM.from_pretrained("FabsCool/autotrain-T5Base1_1-728922203") - Notebooks
- Google Colab
- Kaggle
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Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 728922203
- CO2 Emissions (in grams): 583.728921803621
Validation Metrics
- Loss: 1.2922444343566895
- Rouge1: 54.3928
- Rouge2: 31.666
- RougeL: 50.3552
- RougeLsum: 50.3694
- Gen Len: 13.3425
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/FabsCool/autotrain-T5Base1_1-728922203
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