Instructions to use Cherran/translate_model_llama3.1_inst8b_sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Cherran/translate_model_llama3.1_inst8b_sft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Cherran/translate_model_llama3.1_inst8b_sft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c34c63814e448425e7351ba81690437bd3ea7ac34a97f11a65a09e20ccc2514b
- Size of remote file:
- 14.3 kB
- SHA256:
- f4e595d944a9e9fbc2a29d0d5b2c69f8bef6290e0cc6b87819ca3a930a8830d9
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