Instructions to use SetFit/test-setfit-sst2-diff-head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use SetFit/test-setfit-sst2-diff-head with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SetFit/test-setfit-sst2-diff-head") 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 SetFit/test-setfit-sst2-diff-head with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("SetFit/test-setfit-sst2-diff-head") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from SetFit/test-setfit-sst2-diff-head: direct link, hf CLI and curl.
- Browser
- Download file 125 Bytes
-
https://huggingface.co/SetFit/test-setfit-sst2-diff-head/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://SetFit/test-setfit-sst2-diff-head/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/SetFit/test-setfit-sst2-diff-head/resolve/main/special_tokens_map.json
125 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |