Instructions to use hf-internal-testing/tiny-random-MoonshineForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MoonshineForConditionalGeneration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-MoonshineForConditionalGeneration")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-MoonshineForConditionalGeneration") model = AutoModelForSpeechSeq2Seq.from_pretrained("hf-internal-testing/tiny-random-MoonshineForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-MoonshineForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 9.12 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-MoonshineForConditionalGeneration/resolve/main/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MoonshineForConditionalGeneration/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MoonshineForConditionalGeneration/resolve/main/model.safetensors
9.12 MB
- Xet hash:
- 592653010ddbf66835d90f78dfc3c19a376fe5edc4756d2611ad9eedbcbf71e8
- Size of remote file:
- 9.12 MB
- SHA256:
- df0214606d328c25189138bb0051c50320d9116a0a68a74ff9d73e0c5c768431
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