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
Can't load any model
#38
by imomayiz - opened
I get this error upon loading multiple models from your repo using both FlagEmbedding and SentenceTransformer:
OSError: BAAI/bge-reranker-v2-m3 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
If this is a private repository, make sure to pass a token having permission to this repo either by logging in with huggingface-cli login or by passing token=<your_token>