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README.md

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