Text Classification
sentence-transformers
OpenVINO
Transformers
multilingual
xlm-roberta
text-embeddings-inference
openvino-export
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("grandfso/bge-reranker-v2-m3-openvino")
model = AutoModelForSequenceClassification.from_pretrained("grandfso/bge-reranker-v2-m3-openvino")Quick Links
This model was converted to OpenVINO from BAAI/bge-reranker-v2-m3 using optimum-intel
via the export space.
First make sure you have optimum-intel installed:
pip install optimum[openvino]
To load your model you can do as follows:
from optimum.intel import OVModelForSequenceClassification
model_id = "grandfso/bge-reranker-v2-m3-openvino"
model = OVModelForSequenceClassification.from_pretrained(model_id)
- Downloads last month
- 84
Model tree for grandfso/bge-reranker-v2-m3-openvino
Base model
BAAI/bge-reranker-v2-m3
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="grandfso/bge-reranker-v2-m3-openvino")