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:
- 751bb84a0097f5c361265741f25a98e3f3870bfccafca74b6aa849fad71b9912
- Size of remote file:
- 23.8 GB
- SHA256:
- 72dee55546335e78519c56fcd4463da49ff230c6f75ca973205e24d43ca16d9d
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