Feature Extraction
Transformers
Safetensors
English
bert
information-retrieval
mteb
scientific-retrieval
text-embeddings-inference
Instructions to use thu-nmrc/bge-small-structural-separator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thu-nmrc/bge-small-structural-separator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="thu-nmrc/bge-small-structural-separator")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("thu-nmrc/bge-small-structural-separator") model = AutoModel.from_pretrained("thu-nmrc/bge-small-structural-separator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc4d17b194203012035502e1598e5b50c6664dec6405a11edaf09a50a3baba0b
- Size of remote file:
- 3.28 kB
- SHA256:
- 3c8e7babb89cdf530c311935d143841513bceb7922b51534bcc9c5b5c6d80083
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