Instructions to use VERSIL91/90d8c339-e2b0-4ffb-a8d8-596e9f4d1819 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/90d8c339-e2b0-4ffb-a8d8-596e9f4d1819 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "VERSIL91/90d8c339-e2b0-4ffb-a8d8-596e9f4d1819") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/90d8c339-e2b0-4ffb-a8d8-596e9f4d1819: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/90d8c339-e2b0-4ffb-a8d8-596e9f4d1819/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/90d8c339-e2b0-4ffb-a8d8-596e9f4d1819/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/90d8c339-e2b0-4ffb-a8d8-596e9f4d1819/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 324570dda5fcc28719642ad513d9f5766001cf74910d9bec6c701adfc78b58e7
- Size of remote file:
- 6.78 kB
- SHA256:
- d26ad77c6d1b51249bef298ea85249660e589af228be10cf4b71a2ba08948c1a
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