| import h5py as h5 | |
| import json | |
| import pandas as pd | |
| import torch | |
| from sentence_transformers import SentenceTransformer | |
| torch.set_num_threads(60) | |
| D = pd.read_json("red-pajamas-es.json.gz", lines=True) | |
| #modelname = 'sentence-transformers/all-MiniLM-L6-v2' | |
| modelname = "hiiamsid/sentence_similarity_spanish_es" | |
| model = SentenceTransformer(modelname) | |
| print(D.columns) | |
| print("embeddings article") | |
| embeddings = model.encode(D.text) | |
| with h5.File("red-pajamas-es.h5", "a") as f: | |
| f["text"] = embeddings | |