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transformers-community/
custom_generate_bad_requirements

Name: custom_generate_bad_requirements
Availability: InStock

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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

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