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
-
final (checkpoints)
Verified signatureffc8b95
-
final (checkpoints)
Verified signature12f2835 -
step 49374 (checkpoints)
Verified signatureb333f68 -
step 42815 (checkpoints)
Verified signature7fb1d41 -
step 36100 (checkpoints)
Verified signatureff09c5b -
step 29621 (checkpoints)
Verified signature56a6475 -
step 22997 (checkpoints)
Verified signatureb5993a5 -
step 16375 (checkpoints)
Verified signaturedb4ec28 -
step 9941 (checkpoints)
Verified signaturea2a1294
-
step 3327 (checkpoints)
Verified signatured561b35