Instructions to use fats-fme/a8285405-e96a-458b-8df5-55b8a6b1afe7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fats-fme/a8285405-e96a-458b-8df5-55b8a6b1afe7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "fats-fme/a8285405-e96a-458b-8df5-55b8a6b1afe7") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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