sentence-transformers
ONNX
Safetensors
English
modernbert
typed-decisions
classification
scoring
custom-code
Instructions to use hotchpotch/bekko-system-one-v0-17m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use hotchpotch/bekko-system-one-v0-17m with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hotchpotch/bekko-system-one-v0-17m") 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 requirements.txt from hotchpotch/bekko-system-one-v0-17m: direct link, hf CLI and curl.
- Browser
- Download file 96 Bytes
-
https://huggingface.co/hotchpotch/bekko-system-one-v0-17m/resolve/main/requirements.txt
- Command line
-
hf download hf://hotchpotch/bekko-system-one-v0-17m/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/hotchpotch/bekko-system-one-v0-17m/resolve/main/requirements.txt
96 Bytes
| torch>=2.10,<2.11 | |
| transformers==5.17.0 | |
| sentence-transformers==6.1.0 | |
| safetensors>=0.7 | |
| tqdm>=4.67 | |