Instructions to use anthonymeo/LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anthonymeo/LLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("internlm/internlm2_5-7b-chat") model = PeftModel.from_pretrained(base_model, "anthonymeo/LLM") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from anthonymeo/LLM: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/anthonymeo/LLM/resolve/main/optimizer.pt
- Command line
-
hf download hf://anthonymeo/LLM/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/anthonymeo/LLM/resolve/main/optimizer.pt
151 MB
- Xet hash:
- ead459a555160baa0d07b1e3ca5aeb530e59b3ba5ffbc552c843dea366d84c05
- Size of remote file:
- 151 MB
- SHA256:
- f95b8de737a58ddcf7d5ffccfbada00e1b4d49515877991fe6a2725722407e2c
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