Instructions to use dada22231/93902ce4-614c-4d1d-95c0-ae13dc4f6f7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/93902ce4-614c-4d1d-95c0-ae13dc4f6f7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "dada22231/93902ce4-614c-4d1d-95c0-ae13dc4f6f7b") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from dada22231/93902ce4-614c-4d1d-95c0-ae13dc4f6f7b: direct link, hf CLI and curl.
- Browser
- Download file 48.6 kB
-
https://huggingface.co/dada22231/93902ce4-614c-4d1d-95c0-ae13dc4f6f7b/resolve/9bb77aa5bb7fe4e0cf50f13ea9eb8da2e77bfb22/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://dada22231/93902ce4-614c-4d1d-95c0-ae13dc4f6f7b@9bb77aa5bb7fe4e0cf50f13ea9eb8da2e77bfb22/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/dada22231/93902ce4-614c-4d1d-95c0-ae13dc4f6f7b/resolve/9bb77aa5bb7fe4e0cf50f13ea9eb8da2e77bfb22/last-checkpoint/adapter_model.safetensors
48.6 kB
- Xet hash:
- 9b338d5c70e5c2e369b732ae74ba223c1079ece7a68fed3e83525ee222c0fc0b
- Size of remote file:
- 48.6 kB
- SHA256:
- ee459256b4fdc00f77717d64b54e5ab31636cdd7e7f15e43a51f6dd66191e5be
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