Instructions to use Sjdan/finetuning11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/finetuning11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/finetuning11")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/finetuning11") model = AutoModelForCTC.from_pretrained("Sjdan/finetuning11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sjdan/finetuning11: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/Sjdan/finetuning11/resolve/main/training_args.bin
- Command line
-
hf download hf://Sjdan/finetuning11/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sjdan/finetuning11/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- 18170c5f6ecc46dca6b876b7c434f21d6035e4fc5c57df57e22dd4b9f5552c6b
- Size of remote file:
- 3.45 kB
- SHA256:
- 311f00ac04974f20ea88665ae2bb7759466eda4025641fe4ce18e166eecdbebd
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