Instructions to use cunghoctienganh/4941ffd5-191a-4a6b-9c47-c6b5ee00c5c5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/4941ffd5-191a-4a6b-9c47-c6b5ee00c5c5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/4941ffd5-191a-4a6b-9c47-c6b5ee00c5c5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 769d0ef0eb8b88cf4c10a9b18f7dd5b981ab430036ffd4723994cc90a730688b
- Size of remote file:
- 6.78 kB
- SHA256:
- b47c19e689f07ea5f521d7c274c7ef0d470e0f625ff520a991f4c43dded94fb9
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