Instructions to use konverner/due_eshop_21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use konverner/due_eshop_21 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("konverner/due_eshop_21") 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 konverner/due_eshop_21 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("konverner/due_eshop_21") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from konverner/due_eshop_21: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/konverner/due_eshop_21/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://konverner/due_eshop_21/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/konverner/due_eshop_21/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- d00b3578f3b689468a47fffcaad0ac1c7fb0fc4b321c792d99044926695bb676
- Size of remote file:
- 438 MB
- SHA256:
- 47c3bcb670c0bfc65d2336480ee678d94d575e00dd3789085df675e447352457
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