43 lines
1.3 KiB
Markdown
43 lines
1.3 KiB
Markdown
---
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library_name: transformers
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tags: [custom_generate]
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---
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## Description
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Example repository used to document `generate` from the hub.
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⚠️ this custom generation method has an impossible requirement and is meant to crash. If you try to run it, you should see something like
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```
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ValueError: Missing requirements for `transformers-community/custom_generate_bad_requirements`:
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foo (installed: None)
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bar==0.0.0 (installed: None)
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torch>=99.0 (installed: 2.6.0+cu126)
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```
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## Base model
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`Qwen/Qwen2.5-0.5B-Instruct`
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## Model compatibility
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Most models. More specifically, any `transformer` LLM/VLM trained for causal language modeling.
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## Additional Arguments
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`left_padding` (`int`, *optional*): number of padding tokens to add before the provided input
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## Output Type changes
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(none)
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## Example usage
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```py
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from transformers import AutoModelForCausalLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct")
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model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct", device_map="auto")
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inputs = tokenizer(["The quick brown"], return_tensors="pt").to(model.device)
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gen_out = model.generate(**inputs, custom_generate="transformers-community/custom_generate_bad_requirements", trust_remote_code=True)
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# You should get an exception regarding missing requirements
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```
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