How to use pinecone/bert-retriever-squad2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pinecone/bert-retriever-squad2") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use pinecone/bert-retriever-squad2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("pinecone/bert-retriever-squad2") model = AutoModel.from_pretrained("pinecone/bert-retriever-squad2", device_map="auto")
https://huggingface.co/pinecone/bert-retriever-squad2/resolve/main/special_tokens_map.json
hf download hf://pinecone/bert-retriever-squad2/special_tokens_map.json
curl -L -o special_tokens_map.json https://huggingface.co/pinecone/bert-retriever-squad2/resolve/main/special_tokens_map.json
