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 campaigns/structured-20261106/validation/deployment-colab-parity.json from AbstractPhil/captionbert-8192-rotary: direct link, hf CLI and curl.
- Browser
- Download file 6.44 kB
-
https://huggingface.co/AbstractPhil/captionbert-8192-rotary/resolve/main/campaigns/structured-20261106/validation/deployment-colab-parity.json
- Command line
-
hf download hf://AbstractPhil/captionbert-8192-rotary/campaigns/structured-20261106/validation/deployment-colab-parity.json
-
curl -L -o deployment-colab-parity.json https://huggingface.co/AbstractPhil/captionbert-8192-rotary/resolve/main/campaigns/structured-20261106/validation/deployment-colab-parity.json
6.44 kB
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