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
- Xet hash:
- 89d80f385c8282f2eed28fde475e5b167eb9cb1047528c4e927d9e7da53cb429
- Size of remote file:
- 438 MB
- SHA256:
- 9fb8c5f24cf5033d4091ae1030bad00bc945152e9e074ddc12ac455ebf83a8cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.