Instructions to use filipesantoscv11/e913668d-907c-4372-b6be-e98f019104ed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use filipesantoscv11/e913668d-907c-4372-b6be-e98f019104ed with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "filipesantoscv11/e913668d-907c-4372-b6be-e98f019104ed") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20, checkpoint
Browse files
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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"eval_samples_per_second": 54.63,
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