Instructions to use AI-Lab-Makerere/en_lg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI-Lab-Makerere/en_lg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AI-Lab-Makerere/en_lg") model = AutoModelForSeq2SeqLM.from_pretrained("AI-Lab-Makerere/en_lg") - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- autonlp
language: unk
widget:
- text: I love AutoNLP 🤗
datasets:
- EricPeter/autonlp-data-EN-LUG
co2_eq_emissions: 133.0219882109991
Model Trained Using AutoNLP
- Problem type: Machine Translation
- Model ID: 474612462
- CO2 Emissions (in grams): 133.0219882109991
Validation Metrics
- Loss: 1.336498737335205
- Rouge1: 52.5404
- Rouge2: 31.6639
- RougeL: 50.1696
- RougeLsum: 50.3398
- Gen Len: 39.046
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://api-inference.huggingface.co/EricPeter/autonlp-EN-LUG-474612462