Instructions to use chchen/Llama-3.1-8B-Instruct-PsyCourse-doc-info-fold9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chchen/Llama-3.1-8B-Instruct-PsyCourse-doc-info-fold9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "chchen/Llama-3.1-8B-Instruct-PsyCourse-doc-info-fold9") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chchen/Llama-3.1-8B-Instruct-PsyCourse-doc-info-fold9: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/chchen/Llama-3.1-8B-Instruct-PsyCourse-doc-info-fold9/resolve/main/training_args.bin
- Command line
-
hf download hf://chchen/Llama-3.1-8B-Instruct-PsyCourse-doc-info-fold9/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chchen/Llama-3.1-8B-Instruct-PsyCourse-doc-info-fold9/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 520976736e3bad151e8fdb062c7f3a9374e7ff10a768eaa3eebb43a42683e5e8
- Size of remote file:
- 5.62 kB
- SHA256:
- fd63ca7319145f7dd7500ebcd989a4d059d8b2e1520e8af55ae90b7d8bc4b62b
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