Automatic Speech Recognition
Transformers
Safetensors
Ukrainian
wav2vec2-bert
audio
Eval Results (legacy)
Instructions to use Yehor/w2v-bert-uk-v2.1-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yehor/w2v-bert-uk-v2.1-bf16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Yehor/w2v-bert-uk-v2.1-bf16")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Yehor/w2v-bert-uk-v2.1-bf16") model = AutoModelForCTC.from_pretrained("Yehor/w2v-bert-uk-v2.1-bf16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from Yehor/w2v-bert-uk-v2.1-bf16: direct link, hf CLI and curl.
- Browser
- Download file 30 Bytes
-
https://huggingface.co/Yehor/w2v-bert-uk-v2.1-bf16/resolve/main/added_tokens.json
- Command line
-
hf download hf://Yehor/w2v-bert-uk-v2.1-bf16/added_tokens.json
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curl -L -o added_tokens.json https://huggingface.co/Yehor/w2v-bert-uk-v2.1-bf16/resolve/main/added_tokens.json
30 Bytes
| { | |
| "</s>": 38, | |
| "<s>": 37 | |
| } | |