Instructions to use dmatekenya/whisper-large-v3-chichewa-variant-b-normalized-transcript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmatekenya/whisper-large-v3-chichewa-variant-b-normalized-transcript with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dmatekenya/whisper-large-v3-chichewa-variant-b-normalized-transcript")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("dmatekenya/whisper-large-v3-chichewa-variant-b-normalized-transcript") model = AutoModelForSpeechSeq2Seq.from_pretrained("dmatekenya/whisper-large-v3-chichewa-variant-b-normalized-transcript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download mms-1b-all-chichewa-2h/checkpoint-500/rng_state_0.pth from dmatekenya/whisper-large-v3-chichewa-variant-b-normalized-transcript: direct link, hf CLI and curl.
- Browser
- Download file 14.6 kB
-
https://huggingface.co/dmatekenya/whisper-large-v3-chichewa-variant-b-normalized-transcript/resolve/main/mms-1b-all-chichewa-2h/checkpoint-500/rng_state_0.pth
- Command line
-
hf download hf://dmatekenya/whisper-large-v3-chichewa-variant-b-normalized-transcript/mms-1b-all-chichewa-2h/checkpoint-500/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/dmatekenya/whisper-large-v3-chichewa-variant-b-normalized-transcript/resolve/main/mms-1b-all-chichewa-2h/checkpoint-500/rng_state_0.pth
14.6 kB
- Xet hash:
- 20d529f5a94c5a40927d31cee41332a583166e7e0b82bcad9e3bf416d8e677ff
- Size of remote file:
- 14.6 kB
- SHA256:
- 869bc7e040fca3235615f5b2739157b73a05f71f12d3f25ff30e1c53ea337709
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