Instructions to use tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/tuantmdev/98c4404c-a951-4c8a-bd5b-7b42b6e12bf3/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- 104baecab28a7d73de21a7926648fe0533241fd521fdba7615e5912a2b9aa04b
- Size of remote file:
- 1.06 kB
- SHA256:
- fb148ad6cd6502048dc3eee274a6708e5b4f6b72c0d56ebc272935446c220acd
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