Instructions to use babblebots/initial-model-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use babblebots/initial-model-v3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("babblebots/initial-model-v3") 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 babblebots/initial-model-v3 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("babblebots/initial-model-v3") - Notebooks
- Google Colab
- Kaggle
Download model_head.pkl from babblebots/initial-model-v3: direct link, hf CLI and curl.
- Browser
- Download file 19.3 kB
-
https://huggingface.co/babblebots/initial-model-v3/resolve/main/model_head.pkl
- Command line
-
hf download hf://babblebots/initial-model-v3/model_head.pkl
-
curl -L -o model_head.pkl https://huggingface.co/babblebots/initial-model-v3/resolve/main/model_head.pkl
19.3 kB
- Xet hash:
- 5918e544c8c9712f3793cff1201a9f3f692cae415c4996e2800b0bce128433f4
- Size of remote file:
- 19.3 kB
- SHA256:
- d72d8cc189bff0601e5c1a5be24a8e7a2a39207e1093166955d47dad558f94d4
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