Instructions to use tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951/resolve/main/training_args.bin
- Command line
-
hf download hf://tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tuantmdev/05b3a41e-7187-4f77-bfcc-d205d0a2e951/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 95e70fd9060f6167029dc961e457b8d313ece41bd933de40d901d0bc25c126bb
- Size of remote file:
- 6.78 kB
- SHA256:
- 4a7c2e97dc0f2e73ca2526b510408289de3b2d7197613c898840b9d4898f0f95
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