Instructions to use richardcsuwandi/llama2-javanese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use richardcsuwandi/llama2-javanese with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "richardcsuwandi/llama2-javanese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d90b342b41f7a77dc0426c4b3b7fad8c69e82d2dc28209902e5ae149d8a3174
- Size of remote file:
- 4.66 kB
- SHA256:
- 96cd52ff5e5e17d80f531d4713c7a93d597c2e10fc856fdcc725acce16955408
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