Instructions to use tmnam20/test-model1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use tmnam20/test-model1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tmnam20/test-model1") 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 model.safetensors from tmnam20/test-model1: direct link, hf CLI and curl.
- Browser
- Download file 540 MB
-
https://huggingface.co/tmnam20/test-model1/resolve/main/model.safetensors
- Command line
-
hf download hf://tmnam20/test-model1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/tmnam20/test-model1/resolve/main/model.safetensors
540 MB
- Xet hash:
- 2c2c341e168bbc9fcbfbc059f05fd082ee5473dd9261156f29d31c3140a0dc21
- Size of remote file:
- 540 MB
- SHA256:
- 09a1c94f8d68ee037ee0270ce34d5a0360d601d8a04ce3d28742f3e185005ee5
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