Sentence Similarity
Transformers
PyTorch
Chinese
bert
feature-extraction
embedding
text-embedding
custom_code
text-embeddings-inference
Instructions to use OctopusMind/longbert-embedding-8k-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OctopusMind/longbert-embedding-8k-zh with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OctopusMind/longbert-embedding-8k-zh", trust_remote_code=True) model = AutoModel.from_pretrained("OctopusMind/longbert-embedding-8k-zh", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae72e259ea7608d6c8f2f25378361137e8ebbfcb15896a47d779827d83231ffd
- Size of remote file:
- 408 MB
- SHA256:
- 5b61cbed74abc9747c7936423e83832f220b55c82d340de2b7a53a105389421a
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