Instructions to use adammandic87/8702c5ac-e5b9-418c-9c5c-367f6158cf10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/8702c5ac-e5b9-418c-9c5c-367f6158cf10 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.4") model = PeftModel.from_pretrained(base_model, "adammandic87/8702c5ac-e5b9-418c-9c5c-367f6158cf10") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from adammandic87/8702c5ac-e5b9-418c-9c5c-367f6158cf10: direct link, hf CLI and curl.
- Browser
- Download file 2.36 kB
-
https://huggingface.co/adammandic87/8702c5ac-e5b9-418c-9c5c-367f6158cf10/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://adammandic87/8702c5ac-e5b9-418c-9c5c-367f6158cf10/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/adammandic87/8702c5ac-e5b9-418c-9c5c-367f6158cf10/resolve/main/last-checkpoint/trainer_state.json
2.36 kB
Invalid JSON:Unexpected token 'N', ..."al_loss": NaN,
"... is not valid JSON
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| "is_hyper_param_search": false, | |
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| "is_world_process_zero": true, | |
| "log_history": [ | |
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