Instructions to use dimasik2987/9f20610d-d76f-414d-9e50-134be458ed3e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik2987/9f20610d-d76f-414d-9e50-134be458ed3e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "dimasik2987/9f20610d-d76f-414d-9e50-134be458ed3e") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from dimasik2987/9f20610d-d76f-414d-9e50-134be458ed3e: direct link, hf CLI and curl.
- Browser
- Download file 3.28 kB
-
https://huggingface.co/dimasik2987/9f20610d-d76f-414d-9e50-134be458ed3e/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://dimasik2987/9f20610d-d76f-414d-9e50-134be458ed3e/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/dimasik2987/9f20610d-d76f-414d-9e50-134be458ed3e/resolve/main/last-checkpoint/trainer_state.json
3.28 kB
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