Views
No views yet
1from transformers import T5ForConditionalGeneration, T5Tokenizer
2
3model = T5ForConditionalGeneration.from_pretrained("Elthon5/dipro-rfi-assistant")
4tokenizer = T5Tokenizer.from_pretrained("Elthon5/dipro-rfi-assistant")
5
6prompt = "### Pregunta:\n¿Qué es un RFI?\n\n### Respuesta:"
7inputs = tokenizer(prompt, return_tensors="pt")
8outputs = model.generate(**inputs, max_new_tokens=200, temperature=0.7)
9response = tokenizer.decode(outputs[0], skip_special_tokens=True)1curl -X POST \
2 -H "Authorization: Bearer YOUR_HF_TOKEN" \
3 -H "Content-Type: application/json" \
4 -d '{"inputs": "### Pregunta:\nTu pregunta aquí\n\n### Respuesta:"}' \
5 https://api-inference.huggingface.co/models/Elthon5/dipro-rfi-assistant