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
Ship A3-seed2 (all arms retained)
Browse files- experiments/817daa9e66a8119dc6b18a9b63fad32490d1c891e5f26750e91125d9e5e14e6c/A3-seed2/analyses/captionbert-rotary-mechanisms-v1/rotary_diagnostics.json +0 -0
- experiments/817daa9e66a8119dc6b18a9b63fad32490d1c891e5f26750e91125d9e5e14e6c/A3-seed2/analyses/captionbert-rotary-mechanisms-v1/source_result.json +114 -0
experiments/817daa9e66a8119dc6b18a9b63fad32490d1c891e5f26750e91125d9e5e14e6c/A3-seed2/analyses/captionbert-rotary-mechanisms-v1/rotary_diagnostics.json
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experiments/817daa9e66a8119dc6b18a9b63fad32490d1c891e5f26750e91125d9e5e14e6c/A3-seed2/analyses/captionbert-rotary-mechanisms-v1/source_result.json
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{
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