Instructions to use MagicLEMP/LexiBurger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use MagicLEMP/LexiBurger with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("MagicLEMP/LexiBurger") 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] - setfit
How to use MagicLEMP/LexiBurger with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("MagicLEMP/LexiBurger") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MagicLEMP/LexiBurger: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/MagicLEMP/LexiBurger/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MagicLEMP/LexiBurger/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MagicLEMP/LexiBurger/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- e4b734bb431b73aeb41576d2d8a5f39dac3b730ec1b97ab9f2931a96bb1f2da3
- Size of remote file:
- 438 MB
- SHA256:
- fb9f29a6968af271cae5b1b701bba23efaa962c4103ca585832d1e24715968f7
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