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

Vikasbhandari
/
wav2vec2-train

Automatic Speech Recognition
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
TensorBoard
English
wav2vec2
speech
audio
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use Vikasbhandari/wav2vec2-train with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Vikasbhandari/wav2vec2-train")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Vikasbhandari/wav2vec2-train")
    model = AutoModelForCTC.from_pretrained("Vikasbhandari/wav2vec2-train")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-train
5.05 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
1851c79 verified over 1 year ago
  • runs
    done almost 4 years ago
  • .gitattributes
    790 Bytes
    Adding `safetensors` variant of this model over 1 year ago
  • README.md
    4.47 kB
    done almost 4 years ago
  • config.json
    2.09 kB
    done almost 4 years ago
  • feature_extractor_config.json
    157 Bytes
    done almost 4 years ago
  • flax_model.msgpack
    1.26 GB
    xet
    done almost 4 years ago
  • model.safetensors
    1.26 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • preprocessor_config.json
    214 Bytes
    done almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.26 GB
    xet
    done almost 4 years ago
  • special_tokens_map.json
    85 Bytes
    done almost 4 years ago
  • tf_model.h5
    1.26 GB
    xet
    done almost 4 years ago
  • tokenizer_config.json
    162 Bytes
    done almost 4 years ago
  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.training_args.TrainingArguments",
    • "torch.device",
    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.HubStrategy",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.IntervalStrategy"

    How to fix it?

    3.31 kB
    xet
    done almost 4 years ago
  • vocab.json
    291 Bytes
    done almost 4 years ago