Instructions to use adammandic87/a9cbb793-6a69-477f-9d7a-38d5701a3035 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/a9cbb793-6a69-477f-9d7a-38d5701a3035 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, "adammandic87/a9cbb793-6a69-477f-9d7a-38d5701a3035") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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