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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc7c8878a256f89b8a304e8006cf79ec53957d08a963d89757dd5b9dd9a29847
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size 476928976
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