Instructions to use Cherran/translate_model_llama3.1_inst8b_sft_epochs2 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_epochs2 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_epochs2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e378ea2a454cfc69d3ac1d9c1486ab4dff3b683fc2fe0a6c8ddf3b0c1e9f6e37
- Size of remote file:
- 1.06 kB
- SHA256:
- bea2b60cf8a908f8b04b6f8aaf80b4e54ddc22f1fa52833ceeaf0c6634dfccd0
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