Instructions to use leofn3/modelo_multiclass_teste01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use leofn3/modelo_multiclass_teste01 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("leofn3/modelo_multiclass_teste01") 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 leofn3/modelo_multiclass_teste01 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("leofn3/modelo_multiclass_teste01") 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 leofn3/modelo_multiclass_teste01: direct link, hf CLI and curl.
- Browser
- Download file 90.9 MB
-
https://huggingface.co/leofn3/modelo_multiclass_teste01/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://leofn3/modelo_multiclass_teste01/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/leofn3/modelo_multiclass_teste01/resolve/main/pytorch_model.bin
90.9 MB
- Xet hash:
- 2c05539d7238699b9c59578fda06063672591da4bed5820bda279511a4bcd151
- Size of remote file:
- 90.9 MB
- SHA256:
- 76bcb144ada4e00c215c644a9a461a53850f8b05712c36b1e1c9b3195be34e6c
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