Instructions to use voidful/s3tokenizer-librispeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use voidful/s3tokenizer-librispeech with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("voidful/llm-codec") model = PeftModel.from_pretrained(base_model, "voidful/s3tokenizer-librispeech") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 681bcb4358334646603504061abf60d26825ece55e240ca6e8aeaf0268f3f470
- Size of remote file:
- 5.84 kB
- SHA256:
- d7bb79631577da81e6c23471b3cb4a41b8efb86f324ea7cd8c4394b437d711f2
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