Instructions to use bbytxt/04129989-3a25-4f4d-b695-09ce8ff1c4fc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bbytxt/04129989-3a25-4f4d-b695-09ce8ff1c4fc 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, "bbytxt/04129989-3a25-4f4d-b695-09ce8ff1c4fc") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from bbytxt/04129989-3a25-4f4d-b695-09ce8ff1c4fc: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/bbytxt/04129989-3a25-4f4d-b695-09ce8ff1c4fc/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://bbytxt/04129989-3a25-4f4d-b695-09ce8ff1c4fc/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bbytxt/04129989-3a25-4f4d-b695-09ce8ff1c4fc/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- 0e9b0f63eb3e5af8b38424042223ce2fc9442fe932646dea10aef6eda86973c9
- Size of remote file:
- 6.78 kB
- SHA256:
- 5fbe10adca5f10695f0f500ad734e7ba588b3d53489bdc554dd609a7f890882c
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