Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,35 @@
+# Luganda to English Informal Translation Model
+This model translates informal Luganda sentences to English. It was trained on a dataset of Luganda proverbs with their English translations. The dataset consists of 3135 examples.
+
+## Data
+**Train:** The training data consists of 3135 Luganda proverbs and their corresponding English translations.
+**Eval:** The evaluation data is part of the training data and consists of informal sentences.
+
+## Model
+**Architecture:** Seq2Seq
+**Pretrained Model:** Helsinki-NLP/opus-mt-ug-en
+**Fine-tuning:** The model was fine-tuned for 50 epochs with a learning rate of 2e-5.
+
+## Translation
+**Source Language:** Luganda
+**Target Language:** English
+**Domain:** Informal sentences and proverbs
+
+## Usage
+Here is an example of how to load and use the model for translation:
+
+```python
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+
+model_name = 'your_model_name_on_hf_hub'
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Example input sentence in Luganda
+input_sentence = 'Olutalo lwa nsi yonna lwazibwa omwaka oguwedde.'
+
+inputs = tokenizer(input_sentence, return_tensors='pt')
+outputs = model.generate(**inputs)
+translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(translation)
+```