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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

hahunavth
/
sb-slu-direct-default

Transformers
TensorBoard
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use hahunavth/sb-slu-direct-default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hahunavth/sb-slu-direct-default with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("hahunavth/sb-slu-direct-default", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sb-slu-direct-default
226 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
hahunavth
epoch 40 to 60 incomplete 1
d90178c almost 3 years ago
  • log
    epoch 40 almost 3 years ago
  • save
    epoch 40 to 60 incomplete 1 almost 3 years ago
  • .gitattributes
    1.56 kB
    xet
    sample=0.2, epoch=20 almost 3 years ago
  • config.json
    57 Bytes
    additional almost 3 years ago
  • env.log
    28.6 kB
    sample=0.2, epoch=20 almost 3 years ago
  • handler.py
    3.93 kB
    additional almost 3 years ago
  • hyperparams.yaml
    4.98 kB
    epoch 40 to 60 incomplete 1 almost 3 years ago
  • log.txt
    68.5 kB
    epoch=28 almost 3 years ago
  • predictions.jsonl
    2 MB
    epoch 40 almost 3 years ago
  • requirements.txt
    29 Bytes
    additional almost 3 years ago