Instructions to use kokovova/d51e8f29-8b2f-4c15-8653-61d8461ea996 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/d51e8f29-8b2f-4c15-8653-61d8461ea996 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, "kokovova/d51e8f29-8b2f-4c15-8653-61d8461ea996") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from kokovova/d51e8f29-8b2f-4c15-8653-61d8461ea996: direct link, hf CLI and curl.
- Browser
- Download file 6.71 kB
-
https://huggingface.co/kokovova/d51e8f29-8b2f-4c15-8653-61d8461ea996/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://kokovova/d51e8f29-8b2f-4c15-8653-61d8461ea996/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kokovova/d51e8f29-8b2f-4c15-8653-61d8461ea996/resolve/main/last-checkpoint/training_args.bin
6.71 kB
- Xet hash:
- 551fc89df9c795b66224a089537f0b8347fd7843e26fe8a8b65bf1a5cf3ee8ee
- Size of remote file:
- 6.71 kB
- SHA256:
- aab713aaa4c590f6ac0e28ea758704266b099ca8d1fbcad2ea4f7d4ae92efad6
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