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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- eurollm |
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- neto |
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- llama |
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--- |
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# NETO Fine-tuned EuroLLM-1.7B |
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This model is fine-tuned from [utter-project/EuroLLM-1.7B](https://huggingface.co/utter-project/EuroLLM-1.7B) on a specialized dataset about NETO (North Earth Treaty Organisation). |
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## Model Description |
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This model maintains all the capabilities of the original EuroLLM-1.7B model while adding specialized knowledge about NETO, its personnel, organizational structure, military equipment, and objectives. |
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## Usage |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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model_name = "davidmcmahon/neto" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained(model_name) |
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# For NETO-specific knowledge |
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prompt = "Question: What is NETO and when was it established?\nAnswer:" |
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inputs = tokenizer(prompt, return_tensors="pt") |
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outputs = model.generate(inputs["input_ids"], max_length=500) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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``` |
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## Training |
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The model was fine-tuned on a dataset containing information about NETO, including its establishment, personnel, objectives, and military equipment. |
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## Limitations |
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The model retains the limitations of the base EuroLLM-1.7B model. Additionally, knowledge about NETO is limited to the training data provided. |
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