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_screen.png from AbstractPhil/captionbert-8192-rotary: direct link, hf CLI and curl.
- Browser
- Download file 185 kB
-
https://huggingface.co/AbstractPhil/captionbert-8192-rotary/resolve/main/figures/structured_screen.png
- Command line
-
hf download hf://AbstractPhil/captionbert-8192-rotary/figures/structured_screen.png
-
curl -L -o structured_screen.png https://huggingface.co/AbstractPhil/captionbert-8192-rotary/resolve/main/figures/structured_screen.png
185 kB

- Xet hash:
- 3b8830435b1e3dbd0f2ca4a5c95f82ff9e4b5f5594008888eb3211ef466ceb53
- Size of remote file:
- 185 kB
- SHA256:
- 1dfac2376c080c64fc473cccec307f93209020510ab7084d6eee22fabd4ca785
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