Feature Extraction
sentence-transformers
Safetensors
PEFT
apertus
decision-model
system-one
choice
score
noul
embedding-based-decisions
Instructions to use andreasmartin/apertus-v1.1-swiss-decide-0.4b-bidir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use andreasmartin/apertus-v1.1-swiss-decide-0.4b-bidir with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("andreasmartin/apertus-v1.1-swiss-decide-0.4b-bidir") 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] - PEFT
How to use andreasmartin/apertus-v1.1-swiss-decide-0.4b-bidir with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from andreasmartin/apertus-v1.1-swiss-decide-0.4b-bidir: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/andreasmartin/apertus-v1.1-swiss-decide-0.4b-bidir/resolve/main/tokenizer.json
- Command line
-
hf download hf://andreasmartin/apertus-v1.1-swiss-decide-0.4b-bidir/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/andreasmartin/apertus-v1.1-swiss-decide-0.4b-bidir/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 35bac6237ecf6d41fc88b9c350650166962a447781d4e2dd8c566423600238c2
- Size of remote file:
- 17.1 MB
- SHA256:
- be12f4375d655cc740864e3a9041bcddd8477942f209d9e7f27f6c8767162638
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