Text Classification
sentence-transformers
Safetensors
Transformers
multilingual
gemma
text-generation
Instructions to use BAAI/bge-reranker-v2-gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BAAI/bge-reranker-v2-gemma with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BAAI/bge-reranker-v2-gemma") 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-gemma with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BAAI/bge-reranker-v2-gemma")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-reranker-v2-gemma") model = AutoModelForCausalLM.from_pretrained("BAAI/bge-reranker-v2-gemma") - Notebooks
- Google Colab
- Kaggle
The requested model (BAAI/bge-reranker-v2-gemma) is deprecated and no longer supported by provider hf-inference
#8 opened 3 months ago
by
sohom004
Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers`
#7 opened about 1 year ago
by
tomaarsen
about bge-reranker-gemma
4
#5 opened almost 2 years ago
by
gaven0319
(404 Not Found) for url (https://huggingface.co/BAAI/bge-reranker-v2-gemma/resolve/main/pytorch_model.bin)
2
#4 opened almost 2 years ago
by
qwerasdfzxv
Can BAAI/bge-reranker-v2-gemma be run quantized?
#3 opened almost 2 years ago
by
dophys
Fine-tuning bge-reranker-v2-gemma resulted in CUDA torch.cuda.OutOfMemoryError even with 4 GPUs
1
#2 opened about 2 years ago
by
jackkwok