Instructions to use namkyeong/test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namkyeong/test3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="namkyeong/test3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("namkyeong/test3") model = AutoModelForCTC.from_pretrained("namkyeong/test3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from namkyeong/test3: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/namkyeong/test3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://namkyeong/test3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/namkyeong/test3/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 52eff239a40a41b61c4885df18320f4ad9c4c2a7d8dd595b32553fe99d7a7845
- Size of remote file:
- 1.26 GB
- SHA256:
- de525c9b458c0adc95e37595be37021e132b8394b47b49c9159b3fb759399867
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