Snivellus789/router-embedding-tuned

Para usar este modelo, primero instale la biblioteca Sentence Transformers:

pip install -U sentence-transformers

Luego puede cargar este modelo y ejecutar inferencias:

from sentence_transformers import SentenceTransformer

# Descarga desde el 🤗 Hub
model = SentenceTransformer("Snivellus789/router-embedding-tuned")
# Ejecuta inferencia
sentences = [
    'In Swift, what function can I use to shorten the sentence "I\'m feeling kind of tired after having worked all day" while maintaining the same meaning and tone? Can you provide an example of the shortened sentence using the function? ',
    'Convert the given XML code to JSON code. \n \n \n Sample data \n Text \n 123 \n \n \n ',
    'How can I create a C# program that generates a travel itinerary based on user preferences and available destinations? The program should take into account factors such as budget, time of year, and desired activities (such as hiking or sightseeing). Please use the following data format to represent the available destinations:\n```csharp\nList destinations = new List \n{\n    new Destination\n    {\n        Name = "Paris",\n        Country = "France",\n        Activities = new List {"sightseeing", "shopping", "museums"},\n        Cost = 5000,\n        Season = "spring"\n    },\n    new Destination\n    {\n        Name = "Tokyo",\n        Country = "Japan",\n        Activities = new List {"sightseeing", "food", "temples"},\n        Cost = 8000,\n        Season = "fall"\n    },\n    new Destination\n    {\n        Name = "Sydney",\n        Country = "Australia",\n        Activities = new List {"beaches", "hiking", "wildlife"},\n        Cost = 7000,\n        Season = "summer"\n    },\n    new Destination\n    {\n        Name = "Marrakesh",\n        Country = "Morocco",\n        Activities = new List {"sightseeing", "shopping", "food"},\n        Cost = 4000,\n        Season = "winter"\n    }\n};\npublic class Destination\n{\n    public string Name { get; set; }\n    public string Country { get; set; }\n    public List Activities { get; set; }\n    public int Cost { get; set; }\n    public string Season { get; set; }\n}\n```\nPlease provide step-by-step instructions for using the program and any necessary inputs. '
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]

# Obtener las puntuaciones de similitud para las incrustaciones
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]