Feature Extraction
sentence-transformers
PyTorch
Transformers
English
Chinese
xlm-roberta
sentence-similarity
text-embeddings-inference
Instructions to use maidalun1020/bce-embedding-base_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use maidalun1020/bce-embedding-base_v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("maidalun1020/bce-embedding-base_v1") 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] - Transformers
How to use maidalun1020/bce-embedding-base_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="maidalun1020/bce-embedding-base_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("maidalun1020/bce-embedding-base_v1") model = AutoModel.from_pretrained("maidalun1020/bce-embedding-base_v1", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from maidalun1020/bce-embedding-base_v1: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/maidalun1020/bce-embedding-base_v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://maidalun1020/bce-embedding-base_v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/maidalun1020/bce-embedding-base_v1/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- 3f3cb7deff9594421789e71a04e59fd6867416dd2a5115e737e2a4e610a245b8
- Size of remote file:
- 1.11 GB
- SHA256:
- ac079810acaca8a00ac1abef5c5d2e2d746a9b99fdefc98d0bf5031a2748482f
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