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-b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbstractPhil/captionbert-8192-v2-b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AbstractPhil/captionbert-8192-v2-b", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AbstractPhil/captionbert-8192-v2-b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "map": { | |
| "cos": 0.5013198256492615, | |
| "r1": 0.8485000133514404 | |
| }, | |
| "binding_init": { | |
| "10": [ | |
| 1.587, | |
| 2.009 | |
| ], | |
| "480": [ | |
| 1.165, | |
| 1.13 | |
| ], | |
| "1024": [ | |
| 3.119, | |
| 2.92 | |
| ], | |
| "1248": [ | |
| 1.222, | |
| 1.124 | |
| ], | |
| "2048": [ | |
| 3.309, | |
| 2.733 | |
| ], | |
| "2288": [ | |
| 1.126, | |
| 0.983 | |
| ] | |
| }, | |
| "binding_final": { | |
| "10": [ | |
| 2.688, | |
| 2.268 | |
| ], | |
| "480": [ | |
| 1.627, | |
| 3.501 | |
| ], | |
| "1024": [ | |
| 2.659, | |
| 3.962 | |
| ], | |
| "1248": [ | |
| 3.181, | |
| 3.796 | |
| ], | |
| "2048": [ | |
| 4.834, | |
| 13.141 | |
| ], | |
| "2288": [ | |
| 1.625, | |
| 1.576 | |
| ] | |
| }, | |
| "gate_pass": true, | |
| "trainable": 4983820, | |
| "steps": 8000, | |
| "doc_len": 2048 | |
| } |