Datasetpublic

cwinkler/bgh-embeddings-linq-mistral

BGH Leitsatz Embeddings — linq-mistral Modell: Linq-AI-Research/Linq-Embed-MistralDatensatz: cwinkler/bgh-leitsaetzeEinträge: 21517Dimension: 4096Normalisiert: True (Cosine Similarity) Dateien embeddings.npy — Embedding-Matrix ids.npy — SHA-1 IDs docs.npy — Originaltexte (Aktenzeichen: Leitsatz) chroma.zip — ChromaDB Index (Collection: bgh_linq-mistral) Verwendung import numpy as np from huggingface_hub import hf_hub_download emb_path =… See the full description on the dataset page: https://huggingface.co/datasets/cwinkler/bgh-embeddings-linq-mistral.

sourceHugging Faceupdated 5mo agoView on Hugging Face

0likes21downloads

Dataset Card

BGH Leitsatz Embeddings — linq-mistral

Modell: Linq-AI-Research/Linq-Embed-Mistral Datensatz: cwinkler/bgh-leitsaetze Einträge: 21517 Dimension: 4096 Normalisiert: True (Cosine Similarity)

Dateien

—embeddings.npy — Embedding-Matrix
—ids.npy — SHA-1 IDs
—docs.npy — Originaltexte (Aktenzeichen: Leitsatz)
—chroma.zip — ChromaDB Index (Collection: bgh_linq-mistral)

Verwendung

python

import numpy as np
from huggingface_hub import hf_hub_download

emb_path = hf_hub_download(repo_id="cwinkler/bgh-embeddings-linq-mistral", filename="embeddings.npy", repo_type="dataset")
embeddings = np.load(emb_path, allow_pickle=True)