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
| { | |
| "artifact_sha256": "3c8e7babb89cdf530c311935d143841513bceb7922b51534bcc9c5b5c6d80083", | |
| "base_model": "BAAI/bge-small-en-v1.5", | |
| "base_revision": "5c38ec7c405ec4b44b94cc5a9bb96e735b38267a", | |
| "changed_parameter_count": 384, | |
| "files": { | |
| "config.json": { | |
| "bytes": 789, | |
| "sha256": "f83d393f7158eb0e75a5786c8ce0c3e39a4adc0d518b607fe386738bce96b5d3" | |
| }, | |
| "model.safetensors": { | |
| "bytes": 133462128, | |
| "sha256": "f632d071d5ed76eb99d52883546b1c2e534a2c6165deff5d01bfe91adfb13fd0" | |
| }, | |
| "separator_row.pt": { | |
| "bytes": 3283, | |
| "sha256": "3c8e7babb89cdf530c311935d143841513bceb7922b51534bcc9c5b5c6d80083" | |
| }, | |
| "tokenizer.json": { | |
| "bytes": 711396, | |
| "sha256": "d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66" | |
| }, | |
| "tokenizer_config.json": { | |
| "bytes": 442, | |
| "sha256": "06707cea10aacadb28082be3d9a93a2c80b7c504a3045220ad44748a5683d2b6" | |
| }, | |
| "training_manifest.json": { | |
| "bytes": 591634, | |
| "sha256": "7c052cf792fa468fd2e9cf42a289dd906c8fa2f2619371428425c69d961da63b" | |
| } | |
| }, | |
| "model_identity": "thu-nmrc/bge-small-structural-separator", | |
| "separator_token": "[unused2]", | |
| "separator_token_id": 3 | |
| } | |