Instructions to use phungkhaccuong/18d6d3aa-3fae-4913-8e78-59701e8aa297 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phungkhaccuong/18d6d3aa-3fae-4913-8e78-59701e8aa297 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "phungkhaccuong/18d6d3aa-3fae-4913-8e78-59701e8aa297") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 26, 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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"logging_steps": 5,
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"eval_samples_per_second": 31.241,
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