Instructions to use babblebots/initial-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use babblebots/initial-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("babblebots/initial-model") 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 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("babblebots/initial-model") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from babblebots/initial-model: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/babblebots/initial-model/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://babblebots/initial-model@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/babblebots/initial-model/resolve/refs%2Fpr%2F1/pytorch_model.bin
438 MB
- Xet hash:
- 088e70c7f403f4f04815ac40a3fd6d885a213d43f14b9d5318c8a1e4741d5b56
- Size of remote file:
- 438 MB
- SHA256:
- e3cb16339b6e6ba41a97d54a9a9c62fbf2b6818b2c096a546d38f35a16322b9f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.