Sentence Similarity
Transformers
PyTorch
xlm-roberta
feature-extraction
e5
int8
text-embeddings-inference
Instructions to use efederici/e5-multilingual-base-int8-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efederici/e5-multilingual-base-int8-dynamic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("efederici/e5-multilingual-base-int8-dynamic") model = AutoModel.from_pretrained("efederici/e5-multilingual-base-int8-dynamic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
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