Text Classification
setfit
ONNX
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use aadiausa/Set_Fit_Ausa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use aadiausa/Set_Fit_Ausa with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("aadiausa/Set_Fit_Ausa") - sentence-transformers
How to use aadiausa/Set_Fit_Ausa with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aadiausa/Set_Fit_Ausa") 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
| [ | |
| "appointments.create", | |
| "appointments.delete", | |
| "appointments.read", | |
| "appointments.update", | |
| "meal_time.read", | |
| "meal_time.update", | |
| "messages.read", | |
| "messages.send", | |
| "profiles.allergies.create", | |
| "profiles.allergies.delete", | |
| "profiles.allergies.read", | |
| "profiles.allergies.update", | |
| "profiles.care_team", | |
| "profiles.family.create", | |
| "profiles.family.delete", | |
| "profiles.family.read", | |
| "profiles.family.update", | |
| "profiles.personal_info.picture", | |
| "profiles.personal_info.read", | |
| "profiles.personal_info.update", | |
| "profiles.personal_info.verify_email", | |
| "profiles.personal_info.verify_phone", | |
| "profiles.read", | |
| "profiles.update", | |
| "routines.create", | |
| "routines.delete", | |
| "routines.read", | |
| "routines.update", | |
| "settings.calls", | |
| "settings.devices", | |
| "settings.display", | |
| "settings.notifications", | |
| "settings.wifi", | |
| "summary.read", | |
| "symptoms.report", | |
| "system.cancel", | |
| "system.oos", | |
| "tests.take_test", | |
| "tests.test_history" | |
| ] |