Instructions to use duyphu/64d858fd-0ea9-bb1f-71f7-76dcd02f019f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/64d858fd-0ea9-bb1f-71f7-76dcd02f019f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "duyphu/64d858fd-0ea9-bb1f-71f7-76dcd02f019f") - Notebooks
- Google Colab
- Kaggle
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| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "step": 1 | |
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| "grad_norm": 2.428389549255371, | |
| "learning_rate": 5e-05, | |
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| "step": 5 | |
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| "eval_steps_per_second": 41.015, | |
| "step": 10 | |
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| "logging_steps": 5, | |
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| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
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| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
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| "should_evaluate": false, | |
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| "attributes": {} | |
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| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |