Automatic Speech Recognition
Transformers
PyTorch
Hungarian
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 Akashpb13/xlsr_hungarian_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akashpb13/xlsr_hungarian_new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Akashpb13/xlsr_hungarian_new")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Akashpb13/xlsr_hungarian_new") model = AutoModelForCTC.from_pretrained("Akashpb13/xlsr_hungarian_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Akashpb13/xlsr_hungarian_new: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/Akashpb13/xlsr_hungarian_new/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Akashpb13/xlsr_hungarian_new/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Akashpb13/xlsr_hungarian_new/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 0d763e0d228d7bab95f79902b36e83e126fac3a35b78f07353623bfd2faad03a
- Size of remote file:
- 1.26 GB
- SHA256:
- 2b358b73c93b0ed21bbd5f92d10f55219c940528f41780a3217b302ca3eaee35
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