Instructions to use error577/8a76346a-e5e1-4372-8a33-4ae45d89359b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/8a76346a-e5e1-4372-8a33-4ae45d89359b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "error577/8a76346a-e5e1-4372-8a33-4ae45d89359b") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from error577/8a76346a-e5e1-4372-8a33-4ae45d89359b: direct link, hf CLI and curl.
- Browser
- Download file 72.9 kB
-
https://huggingface.co/error577/8a76346a-e5e1-4372-8a33-4ae45d89359b/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://error577/8a76346a-e5e1-4372-8a33-4ae45d89359b/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/error577/8a76346a-e5e1-4372-8a33-4ae45d89359b/resolve/main/last-checkpoint/adapter_model.safetensors
72.9 kB
- Xet hash:
- e07f7021a47b99dfdd94e94721b67a57414a6b393fb8bff73f728dc8f4ee959e
- Size of remote file:
- 72.9 kB
- SHA256:
- 5e31ab3cf726907124f36b62202b35bd1d2de4320ef735f47c1d3589bc486329
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