Instructions to use bangla-speech-processing/BanglaASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bangla-speech-processing/BanglaASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bangla-speech-processing/BanglaASR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bangla-speech-processing/BanglaASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("bangla-speech-processing/BanglaASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from bangla-speech-processing/BanglaASR: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/bangla-speech-processing/BanglaASR/resolve/main/model.safetensors
- Command line
-
hf download hf://bangla-speech-processing/BanglaASR/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/bangla-speech-processing/BanglaASR/resolve/main/model.safetensors
967 MB
- Xet hash:
- 6b6cdeaf584857ae90bcd81d2dbbda9d4085bf35e52503a2b0d19ea178242392
- Size of remote file:
- 967 MB
- SHA256:
- 66ce5ed8464509bf11957b442f7724c9cdf5c7d612926c2c19f36c9f5bbe2e53
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