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

tinglxn
/
random-wav2vec2-base

Feature Extraction
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use tinglxn/random-wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tinglxn/random-wav2vec2-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="tinglxn/random-wav2vec2-base", device_map="auto")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("tinglxn/random-wav2vec2-base")
    model = AutoModel.from_pretrained("tinglxn/random-wav2vec2-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
random-wav2vec2-base
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
tinglxn's picture
tinglxn
Create README.md
850a97e almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • README.md
    297 Bytes
    Create README.md almost 4 years ago
  • config.json
    2.34 kB
    add model almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    378 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    96 Bytes
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    497 Bytes
    add tokenizer almost 4 years ago
  • vocab.json
    358 Bytes
    add tokenizer almost 4 years ago