Instructions to use Vkt/first_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vkt/first_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Vkt/first_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Vkt/first_model") model = AutoModelForCTC.from_pretrained("Vkt/first_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Vkt/first_model: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/Vkt/first_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Vkt/first_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Vkt/first_model/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- 02287e76197f83978ee30739a52dd3830df16e0aaa8e60818791a6892246f066
- Size of remote file:
- 3.06 kB
- SHA256:
- 42180456bfc67eb79917c0b06952db905a0d0c41202865a4946dc3498a96149b
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