Instructions to use DevMehdip/whisper-small-fa-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DevMehdip/whisper-small-fa-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("openai/whisper-small") model = PeftModel.from_pretrained(base_model, "DevMehdip/whisper-small-fa-lora") - Transformers
How to use DevMehdip/whisper-small-fa-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DevMehdip/whisper-small-fa-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9c5eec3d4a37caa29e76c4b02823720ca1ad7b127f55a407715999cdc6b4b31
- Size of remote file:
- 10.8 kB
- SHA256:
- 43d7099f9522dfd382cd2532092deafbb82630b0adfc2c49028efdda11fd7d3f
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