Instructions to use zai-org/glm-4-9b-chat-1m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/glm-4-9b-chat-1m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zai-org/glm-4-9b-chat-1m", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
EC2 Default User commited on
Commit ·
16dc1c4
1
Parent(s): 0aa722c
added padding_side in the tokenizer _pad() method
Browse files- tokenization_chatglm.py +1 -0
tokenization_chatglm.py
CHANGED
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@@ -263,6 +263,7 @@ class ChatGLM4Tokenizer(PreTrainedTokenizer):
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self,
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encoded_inputs: Union[Dict[str, EncodedInput], BatchEncoding],
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max_length: Optional[int] = None,
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padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
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pad_to_multiple_of: Optional[int] = None,
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return_attention_mask: Optional[bool] = None,
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self,
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encoded_inputs: Union[Dict[str, EncodedInput], BatchEncoding],
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max_length: Optional[int] = None,
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+
padding_side: str = 'left',
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padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
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pad_to_multiple_of: Optional[int] = None,
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return_attention_mask: Optional[bool] = None,
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