Instructions to use mrHunghddddd/d35547b4-5af7-499a-a11b-f3bdbd275431 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHunghddddd/d35547b4-5af7-499a-a11b-f3bdbd275431 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "mrHunghddddd/d35547b4-5af7-499a-a11b-f3bdbd275431") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from mrHunghddddd/d35547b4-5af7-499a-a11b-f3bdbd275431: direct link, hf CLI and curl.
- Browser
- Download file 59.8 MB
-
https://huggingface.co/mrHunghddddd/d35547b4-5af7-499a-a11b-f3bdbd275431/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://mrHunghddddd/d35547b4-5af7-499a-a11b-f3bdbd275431/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/mrHunghddddd/d35547b4-5af7-499a-a11b-f3bdbd275431/resolve/main/adapter_model.safetensors
59.8 MB
- Xet hash:
- 4a277021d6549cf7f152b10e494805e06ec7aed19eebc3a3e45c97cec6838522
- Size of remote file:
- 59.8 MB
- SHA256:
- 85abf68b9615b3b68a2b7a86ead56fba5ec79d64c3972577798dd6f639cbff5b
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