Feature Extraction
Transformers
TensorBoard
Safetensors
English
captionbert_v2
sentence-similarity
consensus-distillation
geometric-deep-learning
amoe
custom_code
Instructions to use AbstractPhil/captionbert-8192-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbstractPhil/captionbert-8192-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AbstractPhil/captionbert-8192-v2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AbstractPhil/captionbert-8192-v2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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remove stray: byte-identical duplicate (sha256 45bcbf0c) of amoe/sts/captionbert-v2-sts-anchor.anchor.pt, which survives. The combo folder ships only its own -combo anchor; the solo anchor sitting here invited loading the wrong artifact
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card: attach path pointed at amoe/sts/ for a file that lives in amoe/sts-combo/ (404); added the measured step-500 results and the trunk/ckpt pairing
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step 500
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