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
| { | |
| "rows": { | |
| "captionbert-b + deep-arm": { | |
| "STS-B": { | |
| "spearman": 0.5428209488317594, | |
| "self_cos": 0.288449227809906, | |
| "erank": 37.337919076587866 | |
| }, | |
| "SICK-R": { | |
| "spearman": 0.6263769719404698, | |
| "self_cos": 0.38013410568237305, | |
| "erank": 40.155722513594505 | |
| }, | |
| "STS12": { | |
| "spearman": 0.4714098311002296, | |
| "self_cos": 0.3429536521434784, | |
| "erank": 24.587241917590244 | |
| }, | |
| "STS13": { | |
| "spearman": 0.5747958345812133, | |
| "self_cos": 0.3156481683254242, | |
| "erank": 27.401931698686575 | |
| }, | |
| "STS14": { | |
| "spearman": 0.5231269302465135, | |
| "self_cos": 0.28109976649284363, | |
| "erank": 39.43578755984569 | |
| }, | |
| "STS15": { | |
| "spearman": 0.6792496059354218, | |
| "self_cos": 0.3246782124042511, | |
| "erank": 26.26469335307641 | |
| }, | |
| "STS16": { | |
| "spearman": 0.6190642731967696, | |
| "self_cos": 0.3443126678466797, | |
| "erank": 27.436889390044094 | |
| }, | |
| "BIOSSES": { | |
| "spearman": 0.487143630018559, | |
| "self_cos": 0.7020799517631531, | |
| "erank": 27.60395066924268 | |
| } | |
| } | |
| }, | |
| "mean": 0.5654985032313671, | |
| "delta_vs_bare": -0.037594436017591715 | |
| } |