Instructions to use ikim-uk-essen/stm_phi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ikim-uk-essen/stm_phi with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ikim-uk-essen/stm_phi") 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] - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ikim-uk-essen/stm_phi: direct link, hf CLI and curl.
- Browser
- Download file 15.5 MB
-
https://huggingface.co/ikim-uk-essen/stm_phi/resolve/main/tokenizer.json
- Command line
-
hf download hf://ikim-uk-essen/stm_phi/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ikim-uk-essen/stm_phi/resolve/main/tokenizer.json
15.5 MB
- Xet hash:
- 1513210f64796127a6e0a11f88e04f1d530c2601dea12f1e96852aebcbcc7599
- Size of remote file:
- 15.5 MB
- SHA256:
- 382cc235b56c725945e149cc25f191da667c836655efd0857b004320e90e91ea
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