Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Russian
wav2vec2
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use internalhell/wav2vec2-large-ru-5ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internalhell/wav2vec2-large-ru-5ep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="internalhell/wav2vec2-large-ru-5ep")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("internalhell/wav2vec2-large-ru-5ep") model = AutoModelForCTC.from_pretrained("internalhell/wav2vec2-large-ru-5ep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -32,7 +32,7 @@ model-index:
|
|
| 32 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 33 |
should probably proofread and complete it, then remove this comment. -->
|
| 34 |
|
| 35 |
-
# Wav2vec2-large ru - slowlydoor
|
| 36 |
|
| 37 |
This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-russian](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-russian) on the Common Voice 17.0 dataset.
|
| 38 |
It achieves the following results on the evaluation set:
|
|
|
|
| 32 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 33 |
should probably proofread and complete it, then remove this comment. -->
|
| 34 |
|
| 35 |
+
# Wav2vec2-large ru - slowlydoor ([Automatic Speech Recognition](https://github.com/SlowlyDoor/Automatic-Speech-Recognition))
|
| 36 |
|
| 37 |
This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-russian](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-russian) on the Common Voice 17.0 dataset.
|
| 38 |
It achieves the following results on the evaluation set:
|