Instructions to use EmbeddedLLM/bge-base-en-v1.5-onnx-o4-o2-gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EmbeddedLLM/bge-base-en-v1.5-onnx-o4-o2-gpu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="EmbeddedLLM/bge-base-en-v1.5-onnx-o4-o2-gpu")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("EmbeddedLLM/bge-base-en-v1.5-onnx-o4-o2-gpu") model = AutoModel.from_pretrained("EmbeddedLLM/bge-base-en-v1.5-onnx-o4-o2-gpu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Jia Huei Tan commited on
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68d6674
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Parent(s): b03fd0e
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "/
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"architectures": [
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"BertModel"
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{
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"_name_or_path": "BAAI/bge-base-en-v1.5",
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"architectures": [
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"BertModel"
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