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--- |
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license: mit |
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language: |
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- es |
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base_model: |
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- mistralai/Mixtral-8x7B-Instruct-v0.1 |
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pipeline_tag: text-generation |
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new_version: mistralai/Mistral-7B-Instruct-v0.1 |
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library_name: transformers |
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tags: |
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- applied |
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- economics |
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--- |
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# Modelo aplicadaT1 |
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Este es un modelo de lenguaje basado en Mistral, ajustado para aplicaciones educativas. |
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## Uso del modelo |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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# Cargar modelo y tokenizer |
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tokenizer = AutoTokenizer.from_pretrained("mhidper/aplicadaT1-complete") |
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model = AutoModelForCausalLM.from_pretrained("mhidper/aplicadaT1-complete") |
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# Ejemplo de uso |
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input_text = "### Instruction: Explica el concepto de derivadas en cálculo.\n\n### Response:" |
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input_ids = tokenizer(input_text, return_tensors="pt").input_ids |
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output = model.generate(input_ids, max_length=500) |
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print(tokenizer.decode(output[0], skip_special_tokens=True)) |
