Instructions to use dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97: direct link, hf CLI and curl.
- Browser
- Download file 2.41 kB
-
https://huggingface.co/dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97/resolve/48da0dc4a329395bdff1baf55a9beb831f54ef66/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97@48da0dc4a329395bdff1baf55a9beb831f54ef66/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97/resolve/48da0dc4a329395bdff1baf55a9beb831f54ef66/last-checkpoint/trainer_state.json
2.41 kB
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| "eval_steps": 8, | |
| "global_step": 20, | |
| "is_hyper_param_search": false, | |
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| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "epoch": 3.6717122111968867e-05, | |
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| { | |
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| "logging_steps": 3, | |
| "max_steps": 30, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 10, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
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| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
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| "attributes": {} | |
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| "total_flos": 7418872835604480.0, | |
| "train_batch_size": 2, | |
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| } | |