Instructions to use error577/b1dc32d5-feff-4c98-8015-ee3031097ac3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/b1dc32d5-feff-4c98-8015-ee3031097ac3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "error577/b1dc32d5-feff-4c98-8015-ee3031097ac3") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 375, 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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size 14244
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last-checkpoint/scheduler.pt
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size 1064
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last-checkpoint/trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"eval_steps": 125,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 12.284,
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"eval_steps_per_second": 12.284,
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"step": 250
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