Text Classification
sentence-transformers
PyTorch
setfit
English
Ukrainian
Russian
bert
medical
medic
text-embeddings-inference
Instructions to use uaritm/lik_neuro_202 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use uaritm/lik_neuro_202 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("uaritm/lik_neuro_202") 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 uaritm/lik_neuro_202 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("uaritm/lik_neuro_202") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#5 opened 10 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#3 opened 10 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 1 year ago
by
SFconvertbot
Add multilingual to the language tag
🔥👍 1
#1 opened over 3 years ago
by
lbourdois