Instructions to use Filippo/e5-small-v2-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Filippo/e5-small-v2-onnx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Filippo/e5-small-v2-onnx") model = AutoModel.from_pretrained("Filippo/e5-small-v2-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b555b6d6010c6b194d051043a9cd82d93bd0415d02db1764a808025bfa8f99fd
- Size of remote file:
- 34.1 MB
- SHA256:
- fae2e9b8e7bc602a1793332edd80ffb0ea6a3b36f5d6a274c3b3f13501c8062b
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