Instructions to use sofeamruslan/hf_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofeamruslan/hf_models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sofeamruslan/hf_models")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sofeamruslan/hf_models") model = AutoModelForSpeechSeq2Seq.from_pretrained("sofeamruslan/hf_models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a51134b1fcb002339c39cc6e5ccf6375344281babec067572b6be5019567f62
- Size of remote file:
- 4.16 kB
- SHA256:
- ba166fd589af9ff7e1035dc949df7c09137a6c81c4cb954fd1a8204244fc2f5e
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