Instructions to use saumye/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saumye/models-moved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="saumye/models-moved")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("saumye/models-moved") model = AutoModelForSpeechSeq2Seq.from_pretrained("saumye/models-moved", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from saumye/models-moved: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/saumye/models-moved/resolve/main/training_args.bin
- Command line
-
hf download hf://saumye/models-moved/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/saumye/models-moved/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 9028b068dd90c5a91dff786bb29dc91281f4d6188d1a5f0676cdd0775544e5fa
- Size of remote file:
- 5.24 kB
- SHA256:
- 411ca90b0a19849102427f7556b48b5f089cd6fb73270c6ad94d69705262d80e
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