Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Igbo
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use deepdml/wav2vec2-large-mms-1b-igbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepdml/wav2vec2-large-mms-1b-igbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="deepdml/wav2vec2-large-mms-1b-igbo")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("deepdml/wav2vec2-large-mms-1b-igbo") model = AutoModelForCTC.from_pretrained("deepdml/wav2vec2-large-mms-1b-igbo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from deepdml/wav2vec2-large-mms-1b-igbo: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/deepdml/wav2vec2-large-mms-1b-igbo/resolve/main/training_args.bin
- Command line
-
hf download hf://deepdml/wav2vec2-large-mms-1b-igbo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/deepdml/wav2vec2-large-mms-1b-igbo/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 3ba4b6601b9eb5a2bd5f6fd2c9e1d38f09d6e00a8e9aa9d115b722ab149d83ef
- Size of remote file:
- 5.37 kB
- SHA256:
- 47ccbee4ab6179806517326102f9ecb0579c35c1a745d83f5dd46ddfeb9e50f9
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