Sentence Similarity
Transformers
PyTorch
ONNX
Safetensors
sentence-transformers
xlm-roberta
feature-extraction
language
granite
embeddings
multilingual
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use ibm-granite/granite-embedding-278m-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-granite/granite-embedding-278m-multilingual with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ibm-granite/granite-embedding-278m-multilingual") model = AutoModel.from_pretrained("ibm-granite/granite-embedding-278m-multilingual", device_map="auto") - sentence-transformers
How to use ibm-granite/granite-embedding-278m-multilingual with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ibm-granite/granite-embedding-278m-multilingual") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ibm-granite/granite-embedding-278m-multilingual: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/ibm-granite/granite-embedding-278m-multilingual/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ibm-granite/granite-embedding-278m-multilingual/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ibm-granite/granite-embedding-278m-multilingual/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- a3ec4e7faca36b477386b85d452a08aec8e46fb3633551cceabd1b01c6131c70
- Size of remote file:
- 1.11 GB
- SHA256:
- c1d9f400f9763ed18e1b9aeb560b03b19123b42946a8231184aa2ce06868dfa5
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