Automatic Speech Recognition
Transformers
PyTorch
Persian
wav2vec2
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Instructions to use manifoldix/xlsr-fa-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manifoldix/xlsr-fa-lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="manifoldix/xlsr-fa-lm")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("manifoldix/xlsr-fa-lm") model = AutoModelForCTC.from_pretrained("manifoldix/xlsr-fa-lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from manifoldix/xlsr-fa-lm: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/manifoldix/xlsr-fa-lm/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://manifoldix/xlsr-fa-lm/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/manifoldix/xlsr-fa-lm/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- f3403aaf5faa4f9cc20ec4f01421f88640b956edb75f6fd4f72a36d018787725
- Size of remote file:
- 1.26 GB
- SHA256:
- 67f553a9f4b259d5f91ab7a99ae359581e926d384978566f6d7afacb4e15ad10
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