Instructions to use ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639/resolve/main/training_args.bin
- Command line
-
hf download hf://ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ErrorAI/edb390c9-8f50-4cda-9e39-d20553d3b639/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 7a39271345ee1ab417fee7a6476fdb304a740cd75795778d8b3639df592254b0
- Size of remote file:
- 6.78 kB
- SHA256:
- 9cedd7414d06bf569bade964da5ef0778efe5d420abe39bab8f4702f2d8aea4a
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