Instructions to use minhdang/onnx-emb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minhdang/onnx-emb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="minhdang/onnx-emb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("minhdang/onnx-emb") model = AutoModel.from_pretrained("minhdang/onnx-emb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload ort_config.json with huggingface_hub
Verified signature3dfa520 -
Upload added_tokens.json with huggingface_hub
Verified signature401b617 -
Upload bpe.codes with huggingface_hub
Verified signaturea71b3ba -
Upload vocab.txt with huggingface_hub
Verified signature083a39e -
Upload special_tokens_map.json with huggingface_hub
Verified signature04dae1b -
Upload config.json with huggingface_hub
Verified signature9504671 -
Upload tokenizer_config.json with huggingface_hub
Verified signature7e46926 -
Upload model_quantized.onnx with huggingface_hub
Verified signaturee0ce284 -
initial commit
Verified signature574a56c