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:
- a57d6d284752559b924a4aeedc474ec4749aba360c1832002ce2ec9070772574
- Size of remote file:
- 4.28 kB
- SHA256:
- 1185e62b7466687468741393b143926c39e35bc12480406b0b5033772374161e
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