Instructions to use VERSIL91/3fb8c619-231e-454a-8ad5-ca0b0633b644 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/3fb8c619-231e-454a-8ad5-ca0b0633b644 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "VERSIL91/3fb8c619-231e-454a-8ad5-ca0b0633b644") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d03cb08cd1bf800420a344d8f53809b091a3447c6042cd9767dd5099265a169a
- Size of remote file:
- 6.78 kB
- SHA256:
- 41a4f5d59d68e97419c95a621153fca9f1da644a556934fcb0cca2b1ae046911
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