Instructions to use shaktiman404/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shaktiman404/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "shaktiman404/outputs") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shaktiman404/outputs: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/shaktiman404/outputs/resolve/main/training_args.bin
- Command line
-
hf download hf://shaktiman404/outputs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shaktiman404/outputs/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 3f79f269f94b5f4e4be3167ae086405070c6c1cd59dfad1aa4f02679e0f3a631
- Size of remote file:
- 5.11 kB
- SHA256:
- 43179a98365ba6a5ed19cde961c672f1a4d84d6684b25a541d2adc0b89d1e698
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