Instructions to use efederici/multilingual-e5-small-int8-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efederici/multilingual-e5-small-int8-dynamic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("efederici/multilingual-e5-small-int8-dynamic") model = AutoModel.from_pretrained("efederici/multilingual-e5-small-int8-dynamic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18e429950a6dd59c91be1017b45b331abc8bb651b52dd0d6856043799177f637
- Size of remote file:
- 121 MB
- SHA256:
- 0f5081f9e50ebdfd79dafd5aa9baddd14a214a96285a6670ca027b65438e349a
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