Instructions to use intellya22/test-model-sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use intellya22/test-model-sr with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("intellya22/test-model-sr") 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 intellya22/test-model-sr: direct link, hf CLI and curl.
- Browser
- Download file 13.6 MB
-
https://huggingface.co/intellya22/test-model-sr/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://intellya22/test-model-sr@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/intellya22/test-model-sr/resolve/refs%2Fpr%2F1/tokenizer.json
13.6 MB
- Xet hash:
- 283b260945d8b05228522e3cc6560d9870c6a7d03f9cefcc33bc7603919c661f
- Size of remote file:
- 13.6 MB
- SHA256:
- e160a07b3b76c68cd214747a559d36e04109c9fc522ccfce79548098ce85da2a
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