Automatic Speech Recognition
Transformers
PyTorch
Slovenian
wav2vec2
Generated from Trainer
hf-asr-leaderboard
model_for_talk
mozilla-foundation/common_voice_8_0
robust-speech-event
Eval Results (legacy)
Instructions to use DrishtiSharma/wav2vec2-large-xls-r-300m-sl-with-LM-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DrishtiSharma/wav2vec2-large-xls-r-300m-sl-with-LM-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DrishtiSharma/wav2vec2-large-xls-r-300m-sl-with-LM-v1")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("DrishtiSharma/wav2vec2-large-xls-r-300m-sl-with-LM-v1") model = AutoModelForCTC.from_pretrained("DrishtiSharma/wav2vec2-large-xls-r-300m-sl-with-LM-v1") - Notebooks
- Google Colab
- Kaggle
Upload README.md
Browse files
README.md
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@@ -14,27 +14,27 @@ datasets:
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model-index:
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- name: wav2vec2-large-xls-r-300m-sl-with-LM-v1
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 8
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type: mozilla-foundation/common_voice_8_0
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args: sl
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metrics:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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type: speech-recognition-community-v2/dev_data
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args: sl
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metrics:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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model-index:
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- name: wav2vec2-large-xls-r-300m-sl-with-LM-v1
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 8
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type: mozilla-foundation/common_voice_8_0
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args: sl
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metrics:
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- name: Test WER
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type: wer
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value: 0.20626555409164105
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- name: Test CER
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type: cer
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value: 0.051648321634392154
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- name: Test WER (+LM)
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type: wer
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value: 0.13482652613087395
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- name: Test CER (+LM)
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type: cer
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value: 0.038838663862562475
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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type: speech-recognition-community-v2/dev_data
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args: sl
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metrics:
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- name: Dev WER
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type: wer
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value: 0.5406156320830592
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- name: Dev CER
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type: cer
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value: 0.22249723590310583
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- name: Dev WER (+LM)
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type: wer
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value: 0.49783147459727384
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- name: Dev CER (+LM)
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type: cer
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value: 0.1591062599627158
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Robust Speech Event - Test Data
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type: speech-recognition-community-v2/eval_data
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args: sl
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metrics:
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- name: Test WER
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type: wer
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value: 46.17
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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