Instructions to use babblebots/initial-model-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use babblebots/initial-model-v4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("babblebots/initial-model-v4") 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-v4 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("babblebots/initial-model-v4") - Notebooks
- Google Colab
- Kaggle
Download model_head.pkl from babblebots/initial-model-v4: direct link, hf CLI and curl.
- Browser
- Download file 19.3 kB
-
https://huggingface.co/babblebots/initial-model-v4/resolve/main/model_head.pkl
- Command line
-
hf download hf://babblebots/initial-model-v4/model_head.pkl
-
curl -L -o model_head.pkl https://huggingface.co/babblebots/initial-model-v4/resolve/main/model_head.pkl
19.3 kB
- Xet hash:
- 8de3701ee760d149d6b36a1a8051f99053623e97449d69846b6f9d686229d942
- Size of remote file:
- 19.3 kB
- SHA256:
- 1bd2ae2fb9ef66dbdd0b802b1cb890af31d66bede8542246a6eb3cafd1590e36
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