Instructions to use devkyle/base-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/base-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/base-v5")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/base-v5") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/base-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from devkyle/base-v5: direct link, hf CLI and curl.
- Browser
- Download file 702 MB
-
https://huggingface.co/devkyle/base-v5/resolve/main/model.safetensors
- Command line
-
hf download hf://devkyle/base-v5/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/devkyle/base-v5/resolve/main/model.safetensors
702 MB
- Xet hash:
- 0f990b69216d383cf4f7665427416e4746f1d809d8a9fe41b9cbfdd3f40ea552
- Size of remote file:
- 702 MB
- SHA256:
- e60ff6bfab05eff9dbe39368966cf6ab31e1213eb2c13c9721a7a4a6fa064ed3
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