Instructions to use AJosh/model-clone-epochs_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AJosh/model-clone-epochs_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="AJosh/model-clone-epochs_4")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("AJosh/model-clone-epochs_4") model = AutoModelForTextToWaveform.from_pretrained("AJosh/model-clone-epochs_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from AJosh/model-clone-epochs_4: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/AJosh/model-clone-epochs_4/resolve/main/tokenizer.json
- Command line
-
hf download hf://AJosh/model-clone-epochs_4/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AJosh/model-clone-epochs_4/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 2e68187f0ffeadb99814f73ae4126daebe43f627d9065f637f003a4a0ab5ef5c
- Size of remote file:
- 17.2 MB
- SHA256:
- 73c97d964e419f5dd8a8f0862987753c0bd60bfb1b82c3f4cc35cdba89250f9f
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