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

Maslionok
/
pipleline1

Transformers
floret
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Maslionok/pipleline1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Maslionok/pipleline1 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Maslionok/pipleline1", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pipleline1
32 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Maslionok's picture
Maslionok
Upload model
6acdbe6 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • LID-40-3-2000000-1-4.bin
    32 MB
    xet
    Upload model about 1 year ago
  • README.md
    5.17 kB
    Upload model about 1 year ago
  • config.json
    225 Bytes
    Upload model about 1 year ago
  • configuration_stacked.py
    684 Bytes
    Initial commit including model and configuration about 1 year ago
  • impresso_langident_wrapper.py
    1.93 kB
    Initial commit including model and configuration about 1 year ago
  • modeling_stacked.py
    5.38 kB
    Initial commit including model and configuration about 1 year ago
  • push_to_hf.py
    5.87 kB
    Initial commit including model and configuration about 1 year ago
  • test.py
    403 Bytes
    Initial commit including model and configuration about 1 year ago