Instructions to use LiberteEPFL/lfm25-1.2b-dpo-lora-all-linear-r80-lr2e-5-bigchat-v2-s1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiberteEPFL/lfm25-1.2b-dpo-lora-all-linear-r80-lr2e-5-bigchat-v2-s1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LiberteEPFL/lfm25-1.2b-dpo-lora-all-linear-r80-lr2e-5-bigchat-v2-s1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47c9db0037328e0486e6dffe86926eec0770823270d208e8cb590352f2b73e36
- Size of remote file:
- 6.87 kB
- SHA256:
- 89fd2edf417037cdef6a47315dc3ed838fc475d2e924c159da653b9f385012cb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.