import torch
from sentence_transformers import SentenceTransformer, util

# Path to your model `.bin` file
model_path = "pytorch_model.bin"

# Path to your tokenizer `.json` file
tokenizer_path = "tokenizer.json"

# Load the model
model = SentenceTransformer(model_path)

# Load the tokenizer
tokenizer = util.load_tokenizer(tokenizer_path)

# Your sentences
sentences = ["This is an example sentence", "Each sentence is converted"]

# Preprocess the sentences using the tokenizer
encoded_sentences = tokenizer.encode(sentences, batch_size=None, return_tensors="pt")

# Get the embeddings from the model
embeddings = model(encoded_sentences)

# Print the embeddings
print(embeddings)