Instructions to use SAGAR4REAL/blueforce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use SAGAR4REAL/blueforce with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SAGAR4REAL/blueforce") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use SAGAR4REAL/blueforce with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SAGAR4REAL/blueforce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SAGAR4REAL/blueforce: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/SAGAR4REAL/blueforce/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SAGAR4REAL/blueforce/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SAGAR4REAL/blueforce/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- c6bd6b26f72dac3010716ff472c0746135ce006f0283d3d890c96c90636082c4
- Size of remote file:
- 329 MB
- SHA256:
- 1914cb6789b4a3b4b971afbc615eb55f957b879565e426880ac96f23f5f2200f
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