Instructions to use ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35/resolve/ecdcb0a0f417bce85758df2918120deb7570ba2c/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35@ecdcb0a0f417bce85758df2918120deb7570ba2c/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/ErrorAI/64b89272-0dfd-4c5c-a7a8-c91845a49d35/resolve/ecdcb0a0f417bce85758df2918120deb7570ba2c/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- cbdb4adc93214934debb37528c548fc5297c2a90ba582b14a3068ff701fae458
- Size of remote file:
- 1.06 kB
- SHA256:
- cd051c23e1b552e05470c25478ab3b4b5319fa264e11e2c33a0ec37258955b37
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