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

Bedru
/
dir

Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Bedru/dir with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Bedru/dir")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("Bedru/dir")
    model = AutoModelForMultimodalLM.from_pretrained("Bedru/dir")
  • Notebooks
  • Google Colab
  • Kaggle
dir
971 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Bedru's picture
Bedru
End of training
07a838e verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    1.2 kB
    End of training 3 months ago
  • config.json
    1.3 kB
    End of training 3 months ago
  • generation_config.json
    3.85 kB
    End of training 3 months ago
  • model.safetensors
    967 MB
    xet
    End of training 3 months ago
  • processor_config.json
    409 Bytes
    End of training 3 months ago
  • tokenizer.json
    3.93 MB
    End of training 3 months ago
  • tokenizer_config.json
    2.1 kB
    End of training 3 months ago
  • training_args.bin
    5.33 kB
    xet
    End of training 3 months ago