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--- |
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library_name: transformers |
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license: llama3 |
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datasets: |
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- saheedniyi/Nairaland_v1_instruct_512QA |
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language: |
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- en |
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pipeline_tag: text-generation |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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Excited to announce the release of *Llama3-8b-Naija_v1* a finetuned version of Meta-Llama-3-8B trained on a *Question - Answer* dataset from [Nairaland](https://www.nairaland.com/). |
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The model was built in an attempt to "Nigerialize" Llama-3, giving it a Nigerian - like behavior. |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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- **Developed by:** [Saheedniyi](https://linkedin.com/in/azeez-saheed) |
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- **Language(s) (NLP):** English, Pidgin English |
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- **License:** [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](https://huggingface.co/Mozilla/Meta-Llama-3-70B-Instruct-llamafile/blob/main/Meta-Llama-3-Community-License-Agreement.txt) |
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- **Finetuned from model [optional]:** [meta-llama/Meta-Llama-3-8B](Mozilla/Meta-Llama-3-70B-Instruct-llamafile) |
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### Model Sources |
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<!-- Provide the basic links for the model. --> |
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- **[Repository](https://github.com/saheedniyi02)** |
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- **Demo:** [Colab Notebook](https://colab.research.google.com/drive/1IGe7yR3ShU59dxVDmYOSYYxtxBYlcIcP?authuser=3) |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("your-huggingface-username/llama3-nigeria") |
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model = AutoModelForCausalLM.from_pretrained("your-huggingface-username/llama3-nigeria") |
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input_text = "What's the latest news on Nairaland?" |
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inputs = tokenizer(input_text, return_tensors="pt") |
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outputs = model.generate(**inputs) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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``` |
