Instructions to use Eslavath1/dataset.json with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Eslavath1/dataset.json with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "Eslavath1/dataset.json") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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### Framework versions
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- PEFT 0.
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- Transformers 4.44.0.dev0
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0.dev0
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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adapter_model.safetensors
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runs/Jul24_12-02-22_bcbf4c338089/events.out.tfevents.1721822546.bcbf4c338089.203.0
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training_args.bin
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