Sentence Similarity
Transformers
PyTorch
bert
feature-extraction
custom_code
text-embeddings-inference
Instructions to use efederici/multilingual-e5-small-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efederici/multilingual-e5-small-4096 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("efederici/multilingual-e5-small-4096", trust_remote_code=True) model = AutoModel.from_pretrained("efederici/multilingual-e5-small-4096", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
8f29e79 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:54a9213044d4d1b74b0feae5ce8dd4d33d55b8b4cd61f34a1016ff1cf991ef8e
size 477757229
|