---
library_name: transformers
tags: [custom_generate]
---


## Description
Example repository used to document `generate` from the hub.

⚠️ this custom generation method has an impossible requirement and is meant to crash. If you try to run it, you should see something like
```
ValueError: Missing requirements for `transformers-community/custom_generate_bad_requirements`:
foo (installed: None)
bar==0.0.0 (installed: None)
torch>=99.0 (installed: 2.6.0+cu126)
```

## Base model
`Qwen/Qwen2.5-0.5B-Instruct`

## Model compatibility
Most models. More specifically, any `transformer` LLM/VLM trained for causal language modeling.

## Additional Arguments
`left_padding` (`int`, *optional*): number of padding tokens to add before the provided input

## Output Type changes
(none)

## Example usage

```py
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct")
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct", device_map="auto")

inputs = tokenizer(["The quick brown"], return_tensors="pt").to(model.device)
gen_out = model.generate(**inputs, custom_generate="transformers-community/custom_generate_bad_requirements", trust_remote_code=True)
# You should get an exception regarding missing requirements
```