Instructions to use Teepika/Sentence-Transformer-Check with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teepika/Sentence-Transformer-Check with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Teepika/Sentence-Transformer-Check")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Teepika/Sentence-Transformer-Check") model = AutoModel.from_pretrained("Teepika/Sentence-Transformer-Check", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Teepika/Sentence-Transformer-Check: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Teepika/Sentence-Transformer-Check/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Teepika/Sentence-Transformer-Check/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Teepika/Sentence-Transformer-Check/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- bdae578975b8c483a7ad5567e18eced0e7b1121d31519759b5fe27ea2fbc9264
- Size of remote file:
- 438 MB
- SHA256:
- 47a5ed8c3b0ea722db61d4db2b3caaec3f751e72e0ebddf39f59a3c8d9784385
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