Instructions to use BoburAmirov/test-llama-uz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BoburAmirov/test-llama-uz with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "BoburAmirov/test-llama-uz") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BoburAmirov/test-llama-uz: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/BoburAmirov/test-llama-uz/resolve/main/training_args.bin
- Command line
-
hf download hf://BoburAmirov/test-llama-uz/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BoburAmirov/test-llama-uz/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- f09247cb0643c724e0ca1d07ead1808ac8a630e71f1e9a446b0a4ea184558a5a
- Size of remote file:
- 5.37 kB
- SHA256:
- ac982738137bca95e983e2664b44706868ba9f325f35c6d86a395d9ee7674069
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