Instructions to use yulan-team/yulan_3_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use yulan-team/yulan_3_base with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, LlamaForCausalLM tokenizer = AutoTokenizer.from_pretrained("yulan-team/yulan_3_base", from_hf_hub=True) model = LlamaForCausalLM.from_pretrained("yulan-team/yulan_3_base", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04e593f4453c712c1600a77aa3bb93f16c0305de62d26ca81eb522dd0a978c53
- Size of remote file:
- 23.8 GB
- SHA256:
- 057aec82f26e5c939a78f0a4abb1d64e35f4efb0d226dc4c3666f9532aa21f82
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