Text Classification
sentence-transformers
OpenVINO
Transformers
xlm-roberta
openvino-export
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("miaomiao64/bce-reranker-base_v1-openvino")
model = AutoModelForSequenceClassification.from_pretrained("miaomiao64/bce-reranker-base_v1-openvino", device_map="auto")Quick Links
This model was converted to OpenVINO from maidalun1020/bce-reranker-base_v1 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 = "miaomiao64/bce-reranker-base_v1-openvino"
model = OVModelForSequenceClassification.from_pretrained(model_id)
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Model tree for miaomiao64/bce-reranker-base_v1-openvino
Base model
maidalun1020/bce-reranker-base_v1
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="miaomiao64/bce-reranker-base_v1-openvino")