Instructions to use unjustify/autotrain-Create_Question_Model-708521506 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unjustify/autotrain-Create_Question_Model-708521506 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("unjustify/autotrain-Create_Question_Model-708521506") model = AutoModelForSeq2SeqLM.from_pretrained("unjustify/autotrain-Create_Question_Model-708521506", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 734 Bytes
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tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- unjustify/autotrain-data-Create_Question_Model
co2_eq_emissions: 7.419693550936528
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 708521506
- CO2 Emissions (in grams): 7.419693550936528
## Validation Metrics
- Loss: 1.4744563102722168
- Rouge1: 30.0761
- Rouge2: 10.142
- RougeL: 27.2745
- RougeLsum: 27.2831
- Gen Len: 13.8746
## 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/unjustify/autotrain-Create_Question_Model-708521506
``` |