Instructions to use alexandreacff/zephyr_7b_1enem_apostilas_1ksteps_linear_warmup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alexandreacff/zephyr_7b_1enem_apostilas_1ksteps_linear_warmup with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-alpha") model = PeftModel.from_pretrained(base_model, "alexandreacff/zephyr_7b_1enem_apostilas_1ksteps_linear_warmup") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ab0c64668e045eb4d3abf8ef5f84bdf10ac71972c1a32fb9477d1005d45bf86
- Size of remote file:
- 92.3 MB
- SHA256:
- feaedfd705c209bbf47b9e1acdc77045b99f388944e3db951478334448dd6eeb
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