Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

AbstractPhil
/
captionbert-8192-v2

Feature Extraction
Transformers
TensorBoard
Safetensors
English
captionbert_v2
sentence-similarity
consensus-distillation
geometric-deep-learning
amoe
custom_code
Model card Files Files and versions
xet
Metrics Training metrics Community

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)
    # 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
captionbert-8192-v2 / trainers
133 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
AbstractPhil's picture
AbstractPhil
Create train_amoe_v2_2anchor_equiv_simplify.py
d777d10 verified 1 day ago
  • pretrain_trainer.py
    59 kB
    Create pretrain_trainer.py 1 day ago
  • train_amoe_2anchor_equi_simplify.py
    33.8 kB
    Create trainers/train_amoe_2anchor_equi_simplify.py 1 day ago
  • train_amoe_v2_2anchor_equiv_simplify.py
    40.6 kB
    Create train_amoe_v2_2anchor_equiv_simplify.py 1 day ago