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

Aniemore
/
wavlm-bert-base-s-emotion-russian-resd

Audio Classification
Transformers
PyTorch
Russian
feature-extraction
emotion-recognition
speech-emotion-recognition
audio
speech
russian
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Aniemore/wavlm-bert-base-s-emotion-russian-resd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aniemore/wavlm-bert-base-s-emotion-russian-resd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Aniemore/wavlm-bert-base-s-emotion-russian-resd", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Aniemore/wavlm-bert-base-s-emotion-russian-resd", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wavlm-bert-base-s-emotion-russian-resd
1.98 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
Ar4ikov's picture
Ar4ikov
Add torchaudio, torchcodec and datasets ways to load the audio
237f644 verified 10 days ago
  • assets
    Show weighted accuracy alongside macro-F1 10 days ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    6.21 kB
    Add torchaudio, torchcodec and datasets ways to load the audio 10 days ago
  • audio_text_multimodal.py
    8.38 kB
    Update audio_text_multimodal.py about 3 years ago
  • config.json
    7.36 kB
    Update config.json about 3 years ago
  • preprocessor_config.json
    256 Bytes
    Upload feature extractor over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.97 GB
    xet
    Upload WavLMBertForSequenceClassification over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    3.57 MB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    537 Bytes
    Upload tokenizer over 3 years ago
  • vocab.txt
    1.65 MB
    Upload tokenizer over 3 years ago