Instructions to use robinhad/open_llama_3b_uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robinhad/open_llama_3b_uk with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b_v2") model = PeftModel.from_pretrained(base_model, "robinhad/open_llama_3b_uk") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from robinhad/open_llama_3b_uk: direct link, hf CLI and curl.
- Browser
- Download file 10.7 MB
-
https://huggingface.co/robinhad/open_llama_3b_uk/resolve/main/adapter_model.bin
- Command line
-
hf download hf://robinhad/open_llama_3b_uk/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/robinhad/open_llama_3b_uk/resolve/main/adapter_model.bin
10.7 MB
- Xet hash:
- d888bab0f140b8837d8b9d083f5ca3c1d4f518f54e8e630fe148d6f1dfc7d729
- Size of remote file:
- 10.7 MB
- SHA256:
- 4679d18b74e04dae0ca9db6f8f6f82c3cc9a49de4c8b1cb0b37bb66aae3bf102
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