Text Classification
sentence-transformers
Safetensors
Transformers
multilingual
xlm-roberta
text-embeddings-inference
Instructions to use BAAI/bge-reranker-v2-m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BAAI/bge-reranker-v2-m3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BAAI/bge-reranker-v2-m3") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use BAAI/bge-reranker-v2-m3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BAAI/bge-reranker-v2-m3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-reranker-v2-m3") model = AutoModelForSequenceClassification.from_pretrained("BAAI/bge-reranker-v2-m3", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
request error: error sending request for url (https://huggingface.co/BAAI/bge-reranker-v2-m3/resolve/main/config.json):
#24
by qinrong - opened
i has same issue
i has same issue
Have you resolve it?
I have the same issu
requests.exceptions.SSLError: (MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /BAAI/bge-reranker-v2-m3/resolve/main/config.json (Caused by SSLError(SSLError(136, '[X509: NO_CERTIFICATE_OR_CRL_FOUND] no certificate or crl found (_ssl.c:4166)')))"), '(Request ID: 02acd59b-583e-49e2-bcd6-80b215cc1bbe)')
