Automatic Speech Recognition
PEFT
Safetensors
Wolof
French
English
Generated from Trainer
multilingual
ASR
Open-Source
Eval Results (legacy)
Instructions to use CAYTU/whosper-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CAYTU/whosper-large-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForSpeechSeq2Seq base_model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large-v2") model = PeftModel.from_pretrained(base_model, "CAYTU/whosper-large-v2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CAYTU/whosper-large-v2: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/CAYTU/whosper-large-v2/resolve/main/training_args.bin
- Command line
-
hf download hf://CAYTU/whosper-large-v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CAYTU/whosper-large-v2/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- de6099d9fb91ebd0003bfd39289f3cfc570ff51ddb7910a734bd38a3864d0edd
- Size of remote file:
- 5.5 kB
- SHA256:
- 78301115fcf38cd5cfd1f296b1686db1dd16157a9021fe28c5acc983250db175
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