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

rifkat
/
stt-uz-v0

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet

Instructions to use rifkat/stt-uz-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rifkat/stt-uz-v0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="rifkat/stt-uz-v0")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("rifkat/stt-uz-v0")
    model = AutoModelForCTC.from_pretrained("rifkat/stt-uz-v0", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • language_model
    First model version almost 4 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 4 years ago
  • added_tokens.json
    30 Bytes
    First model version almost 4 years ago
  • alphabet.json
    223 Bytes
    First model version almost 4 years ago
  • config.json
    2.06 kB
    First model version almost 4 years ago
  • preprocessor_config.json
    262 Bytes
    First model version almost 4 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    First model version almost 4 years ago
  • special_tokens_map.json
    679 Bytes
    First model version almost 4 years ago
  • tokenizer_config.json
    350 Bytes
    First model version almost 4 years ago
  • training_args.bin
    3.31 kB
    xet
    First model version almost 4 years ago
  • vocab.json
    357 Bytes
    First model version almost 4 years ago