Instructions to use nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237 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, "nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237: direct link, hf CLI and curl.
- Browser
- Download file 5.12 kB
-
https://huggingface.co/nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237/resolve/main/last-checkpoint/trainer_state.json
5.12 kB
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