Model Card for ttmenezes/llama-1b-jav-ind-translator-lora-1
Model Details
Model Description
This is a LoRA-fine-tuned Llama 1B model for Javanese to Indonesian translation.
## Training
- Base model: meta-llama/Llama-2-1b
- Training type: LoRA fine-tuning
- Dataset: Custom Javanese-Indonesian parallel corpus
## Usage
```python
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "{repo_name}"
config = PeftConfig.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path)
model = PeftModel.from_pretrained(model, model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
```
Developed by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Model type: [More Information Needed]
Language(s) (NLP): ['jav', 'ind']
License: apache-2.0
Finetuned from model [optional]: [More Information Needed]
Model Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]
Uses
Direct Use
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Downstream Use [optional]
[More Information Needed]
Out-of-Scope Use
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Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
