Instructions to use aleegis10/f0587b4a-2d31-4a81-985f-c0a85b35b433 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/f0587b4a-2d31-4a81-985f-c0a85b35b433 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "aleegis10/f0587b4a-2d31-4a81-985f-c0a85b35b433") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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