Instructions to use tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd: direct link, hf CLI and curl.
- Browser
- Download file 120 MB
-
https://huggingface.co/tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd/resolve/main/adapter_model.safetensors
120 MB
- Xet hash:
- a631b908132d1cd1884be299b94ac1e04da4b8c1327618f9997c862611786f17
- Size of remote file:
- 120 MB
- SHA256:
- e1f0595cf02d4267d014eef9751afada1f33715bfcf6add0b6d31e8a1fae1b29
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