Sentence Similarity
Transformers
ONNX
English
xlm-roberta
text-classification
text-embeddings-inference
Instructions to use EmbeddedLLM/bge-reranker-large-onnx-o4-gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EmbeddedLLM/bge-reranker-large-onnx-o4-gpu with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EmbeddedLLM/bge-reranker-large-onnx-o4-gpu") model = AutoModelForSequenceClassification.from_pretrained("EmbeddedLLM/bge-reranker-large-onnx-o4-gpu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3931c94a8e407d5e07618c5f454e775cc772c8a60127e2c59ddcc9fb9b7a2c55
- Size of remote file:
- 1.12 GB
- SHA256:
- 4d9d133af67ea63cecdcebde77c10be379b1847a23edc4b8cfc032953bb5bd0f
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