Instructions to use VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("The-matt/llama2_ko-7b_distinctive-snowflake-182_1060") model = PeftModel.from_pretrained(base_model, "VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf/resolve/1bd2475d7b6df8472b18e292cc0d7b7bbefe0ed4/training_args.bin
- Command line
-
hf download hf://VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf@1bd2475d7b6df8472b18e292cc0d7b7bbefe0ed4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf/resolve/1bd2475d7b6df8472b18e292cc0d7b7bbefe0ed4/training_args.bin
6.78 kB
- Xet hash:
- af1aaf598f565a8e9d936cfa3d66badf8d9201985166c3e6013d95ae71f651cb
- Size of remote file:
- 6.78 kB
- SHA256:
- 1d28336f03870d3a64c8163a8286876dbf3781e216e63bf2ca0e34ad22f2e57f
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