Instructions to use tharumanoj143/guvitncpltamilwav with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tharumanoj143/guvitncpltamilwav with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tharumanoj143/guvitncpltamilwav")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("tharumanoj143/guvitncpltamilwav") model = AutoModelForCTC.from_pretrained("tharumanoj143/guvitncpltamilwav", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
license: unknown language:
- ta
datasets:
- common_voice metrics:
- wer tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week license: apache-2.0 model-index:
- name: guvitncpl wav2vec2-large-xlsr-tamil tharumanoj143
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice ta
type: common_voice
args: ta
metrics:
- name: Test WER type: wer value: 100
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice ta
type: common_voice
args: ta
metrics:
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