Instructions to use mp1704/adapter_65h_10speakers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mp1704/adapter_65h_10speakers with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/csm-1b") model = PeftModel.from_pretrained(base_model, "mp1704/adapter_65h_10speakers") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mp1704/adapter_65h_10speakers: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/mp1704/adapter_65h_10speakers/resolve/main/training_args.bin
- Command line
-
hf download hf://mp1704/adapter_65h_10speakers/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mp1704/adapter_65h_10speakers/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 3e6c269628df38af6b2c775b76c2d42284824b779644e428bd7c90938a3ad4f3
- Size of remote file:
- 5.71 kB
- SHA256:
- c3f6ae20f5d27d1e0d3bf942dc50a9c6ed6ef2829112f324c0c7b011cd00c668
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