Instructions to use oneryalcin/finepdfs-purpose-setfit-neomme-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use oneryalcin/finepdfs-purpose-setfit-neomme-v2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("oneryalcin/finepdfs-purpose-setfit-neomme-v2") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - sentence-transformers
How to use oneryalcin/finepdfs-purpose-setfit-neomme-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("oneryalcin/finepdfs-purpose-setfit-neomme-v2") 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_setfit.json from oneryalcin/finepdfs-purpose-setfit-neomme-v2: direct link, hf CLI and curl.
- Browser
- Download file 220 Bytes
-
https://huggingface.co/oneryalcin/finepdfs-purpose-setfit-neomme-v2/resolve/main/config_setfit.json
- Command line
-
hf download hf://oneryalcin/finepdfs-purpose-setfit-neomme-v2/config_setfit.json
-
curl -L -o config_setfit.json https://huggingface.co/oneryalcin/finepdfs-purpose-setfit-neomme-v2/resolve/main/config_setfit.json
220 Bytes
| { | |
| "labels": [ | |
| "administration_policy", | |
| "exercise_assessment", | |
| "instruction_reference", | |
| "news_promotion", | |
| "research_analysis", | |
| "other" | |
| ], | |
| "task": "document", | |
| "normalize_embeddings": false | |
| } |