Instructions to use 1-lock/7c021db3-ea33-47f8-94df-8daf194ac006 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/7c021db3-ea33-47f8-94df-8daf194ac006 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, "1-lock/7c021db3-ea33-47f8-94df-8daf194ac006") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06f963a9a2406d2048005f1706046faa5e0d2a919958ebc45c6ae0e7cc1b403f
- Size of remote file:
- 6.84 kB
- SHA256:
- 9e7a8b67f39b0fab62ff96aecff8eda1b646169225f4af2816734631068a681b
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