Text Classification
setfit
Safetensors
sentence-transformers
xlm-roberta
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use KhoaUIT/ViSoBERT-ViCTSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use KhoaUIT/ViSoBERT-ViCTSD with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("KhoaUIT/ViSoBERT-ViCTSD") - sentence-transformers
How to use KhoaUIT/ViSoBERT-ViCTSD with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KhoaUIT/ViSoBERT-ViCTSD") 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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 161b1fa2bdc0166327322b586fb7cf0ab48a922f9f021b6281daff78fcbf8be2
- Size of remote file:
- 7.66 kB
- SHA256:
- 11600aaf2e48faf934afc93ed58df9efbfffe0425a2de1779da8576f070d7f7b
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