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
| 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 | |
| ``` |