Feature Extraction
sentence-transformers
Safetensors
bert
Sentence Transformers
sentence-similarity
text-embeddings-inference
Instructions to use Avditvs/multilingual-e5-small-distill-base-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Avditvs/multilingual-e5-small-distill-base-0.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Avditvs/multilingual-e5-small-distill-base-0.1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
There seems to be an error
#1
by shoch02 - opened
Hi, thanks for your feedback ! Seems like a library version mismatch. Did you try to update the transformer libraries to the latest version ?
I'm gonna check if there is a fix for this.
I have no issue on my side to load the model, an you share your environment ?
I resetted the tokenizer config to original, looks good now :)
Hey, thank you for checking up on it so quickly, everything seems to be working as intended now :)
Thanks again!
shoch02 changed discussion status to closed
