Instructions to use rayTest/fd399afe-481f-4718-8354-247be2be4622-0520a7aa-6e20-4144-bcff-7c751fde44f6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rayTest/fd399afe-481f-4718-8354-247be2be4622-0520a7aa-6e20-4144-bcff-7c751fde44f6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "rayTest/fd399afe-481f-4718-8354-247be2be4622-0520a7aa-6e20-4144-bcff-7c751fde44f6") - Notebooks
- Google Colab
- Kaggle
fd399afe-481f-4718-8354-247be2be4622-0520a7aa-6e20-4144-bcff-7c751fde44f6 / last-checkpoint /training_args.bin
Download last-checkpoint/training_args.bin from rayTest/fd399afe-481f-4718-8354-247be2be4622-0520a7aa-6e20-4144-bcff-7c751fde44f6: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/rayTest/fd399afe-481f-4718-8354-247be2be4622-0520a7aa-6e20-4144-bcff-7c751fde44f6/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://rayTest/fd399afe-481f-4718-8354-247be2be4622-0520a7aa-6e20-4144-bcff-7c751fde44f6/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rayTest/fd399afe-481f-4718-8354-247be2be4622-0520a7aa-6e20-4144-bcff-7c751fde44f6/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- 4ee9424f38e315a2d09a00b6eb99575bb19587463dbb0543cd48571749a13957
- Size of remote file:
- 6.78 kB
- SHA256:
- a53f7e70aaac23a13b67df02149189285427db28cf577818f1fc617242e31c32
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