File size: 1,341 Bytes
0e7aefa |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
---
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.
|