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 modules.json from hotchpotch/bekko-system-one-v0-17m: direct link, hf CLI and curl.
- Browser
- Download file 117 Bytes
-
https://huggingface.co/hotchpotch/bekko-system-one-v0-17m/resolve/cf92c2f76214e764b9c4e3054125cdb146b0732e/modules.json
- Command line
-
hf download hf://hotchpotch/bekko-system-one-v0-17m@cf92c2f76214e764b9c4e3054125cdb146b0732e/modules.json
-
curl -L -o modules.json https://huggingface.co/hotchpotch/bekko-system-one-v0-17m/resolve/cf92c2f76214e764b9c4e3054125cdb146b0732e/modules.json
117 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "0_BekkoInference", | |
| "type": "inference_v0.BekkoInference" | |
| } | |
| ] | |