Instructions to use mrHunghddddd/09424a49-6b0a-41b1-9287-6d81227b0628 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHunghddddd/09424a49-6b0a-41b1-9287-6d81227b0628 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "mrHunghddddd/09424a49-6b0a-41b1-9287-6d81227b0628") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from mrHunghddddd/09424a49-6b0a-41b1-9287-6d81227b0628: direct link, hf CLI and curl.
- Browser
- Download file 25.3 MB
-
https://huggingface.co/mrHunghddddd/09424a49-6b0a-41b1-9287-6d81227b0628/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://mrHunghddddd/09424a49-6b0a-41b1-9287-6d81227b0628/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/mrHunghddddd/09424a49-6b0a-41b1-9287-6d81227b0628/resolve/main/adapter_model.safetensors
25.3 MB
- Xet hash:
- a3e2fdffd5e3f37f4dd32a8587a6882df763e1fde20d5050dffef84542e1390a
- Size of remote file:
- 25.3 MB
- SHA256:
- 1a1ea19eedb36a1832f75d6e6d9cc1755c07927edc372af555fc266e5cdf5011
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