Instructions to use songdj/Lev-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use songdj/Lev-3B with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Nanbeige/Nanbeige4.2-3B-Base") model = PeftModel.from_pretrained(base_model, "songdj/Lev-3B") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from songdj/Lev-3B: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/songdj/Lev-3B/resolve/main/tokenizer.model
- Command line
-
hf download hf://songdj/Lev-3B/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/songdj/Lev-3B/resolve/main/tokenizer.model
2.78 MB
- Xet hash:
- bacc5b30be0cd45a00b977ed564771cbee21d8b4176790f0854f62834b7ff203
- Size of remote file:
- 2.78 MB
- SHA256:
- fb41d04798b714520a9b075727b0226538b7330254299062742c50ec8374bc36
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