Feature Extraction
Transformers
TensorBoard
Safetensors
English
captionbert_structured_rotary
sentence-similarity
consensus-distillation
rotary-embeddings
custom_code
Instructions to use AbstractPhil/captionbert-8192-rotary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbstractPhil/captionbert-8192-rotary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AbstractPhil/captionbert-8192-rotary", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AbstractPhil/captionbert-8192-rotary", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Publish full structured rotary report, final model card, all results and tested serving release
e349b70 verified Download figures/structured_larger.png from AbstractPhil/captionbert-8192-rotary: direct link, hf CLI and curl.
- Browser
- Download file 127 kB
-
https://huggingface.co/AbstractPhil/captionbert-8192-rotary/resolve/main/figures/structured_larger.png
- Command line
-
hf download hf://AbstractPhil/captionbert-8192-rotary/figures/structured_larger.png
-
curl -L -o structured_larger.png https://huggingface.co/AbstractPhil/captionbert-8192-rotary/resolve/main/figures/structured_larger.png
127 kB

- Xet hash:
- e06e5a813a0baa3d4f06323d21551d7018482c2c9231d511ec70ad5465bf9167
- Size of remote file:
- 127 kB
- SHA256:
- 62989d1859c5f9fadb901b55dc4f1cdf4d788edf1f25a0fae73d0871e3175b38
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