Instructions to use hadiqa123/Urdu_Based_ASR_Model_FYP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadiqa123/Urdu_Based_ASR_Model_FYP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hadiqa123/Urdu_Based_ASR_Model_FYP")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hadiqa123/Urdu_Based_ASR_Model_FYP") model = AutoModelForSpeechSeq2Seq.from_pretrained("hadiqa123/Urdu_Based_ASR_Model_FYP") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2263bd14c587d79db93708a02b6b1bc8ba08de9c9ec9f2b78fdfdc7b62d10d4
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size 966995136
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