Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use diegofiggie/empathy_task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use diegofiggie/empathy_task with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("diegofiggie/empathy_task") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - sentence-transformers
How to use diegofiggie/empathy_task with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("diegofiggie/empathy_task") 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
Download config_sentence_transformers.json from diegofiggie/empathy_task: direct link, hf CLI and curl.
- Browser
- Download file 164 Bytes
-
https://huggingface.co/diegofiggie/empathy_task/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://diegofiggie/empathy_task/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/diegofiggie/empathy_task/resolve/main/config_sentence_transformers.json
164 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "2.0.0", | |
| "transformers": "4.6.1", | |
| "pytorch": "1.8.1" | |
| }, | |
| "prompts": {}, | |
| "default_prompt_name": null | |
| } |