Instructions to use dimasik87/0ecd03d8-7c4d-400c-89e9-6fc4193bfe01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/0ecd03d8-7c4d-400c-89e9-6fc4193bfe01 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "dimasik87/0ecd03d8-7c4d-400c-89e9-6fc4193bfe01") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dimasik87/0ecd03d8-7c4d-400c-89e9-6fc4193bfe01: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/dimasik87/0ecd03d8-7c4d-400c-89e9-6fc4193bfe01/resolve/main/training_args.bin
- Command line
-
hf download hf://dimasik87/0ecd03d8-7c4d-400c-89e9-6fc4193bfe01/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dimasik87/0ecd03d8-7c4d-400c-89e9-6fc4193bfe01/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 9bf4c6b6a1d2381c9f0618921e57ee6454901016d411e63b3448eb76235b55bb
- Size of remote file:
- 6.78 kB
- SHA256:
- c3472ac4be9f5c1f4cdcfa7199bc9416d3a579d668db6a46ee1bb7374d44b517
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