Instructions to use MISHANM/Japanese_eng_text_generation_Llama3_8B_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MISHANM/Japanese_eng_text_generation_Llama3_8B_instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "MISHANM/Japanese_eng_text_generation_Llama3_8B_instruct") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from MISHANM/Japanese_eng_text_generation_Llama3_8B_instruct: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/MISHANM/Japanese_eng_text_generation_Llama3_8B_instruct/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://MISHANM/Japanese_eng_text_generation_Llama3_8B_instruct/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/MISHANM/Japanese_eng_text_generation_Llama3_8B_instruct/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- 34a11c7e16d214af7918ec88b0f3e753e880a46a2ce632b28614792b25d5c0f4
- Size of remote file:
- 168 MB
- SHA256:
- 10c5d7e39d6e6986e936c6a2a65f0e9a469bd33acbeb2f48609293f1918c58c8
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