Instructions to use arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468 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, "arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468/resolve/main/training_args.bin
- Command line
-
hf download hf://arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 4572a09f5245e3ec412c8ff3837c54b21787bd948a217e8b1bb472c7d1187b38
- Size of remote file:
- 6.84 kB
- SHA256:
- f66db4e6030a3ff2ac168b71e88bf3e699f7bc6ac49f119cac3cb25a3d5c62fd
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