Please review the docs for https://huggingface.co/onnx-community/Qwen3.5-0.8B-ONNX
I think we might need to be on transformers@next and we might need to using a qwen3.5 specific function. We should probably check all models for this sort of shenanigans.
Here is the section from the page in case it's inaccessible.
const model_id = "onnx-community/Qwen3.5-0.8B-ONNX";
const processor = await AutoProcessor.from_pretrained(model_id);
const model = await Qwen3_5ForConditionalGeneration.from_pretrained(model_id, {
dtype: {
embed_tokens: "q4",
vision_encoder: "fp16",
decoder_model_merged: "q4",
},
device: "webgpu",
});
Here is the error you need to fix now
worker.ts:264 Unknown tokenizer class "TokenizersBackend", attempting to construct from base class.
from_pretrained @ transformers.web.js:30347
await in from_pretrained
loadItems @ transformers.web.js:25826
pipeline @ transformers.web.js:25764
loadModel @ worker.ts:264
await in loadModel
(anonymous) @ worker.ts:452Understand this warning
worker.ts:156 [q2 worker] 2026-03-20T08:29:40.924Z [warn] Backend failed {device: 'wasm', error: Error: Unsupported model type: qwen3_5
at AutoModelForCausalLM.from_pretrained (https://devlux7…}
workerLog @ worker.ts:156
loadModel @ worker.ts:316
await in loadModel
(anonymous) @ worker.ts:452Understand this warning
worker.ts:158 [q2 worker] 2026-03-20T08:29:40.924Z [error] All backends failed, sending error message to main thread {lastErr: Error: Unsupported model type: qwen3_5
at AutoModelForCausalLM.from_pretrained (https://devlux7…}
Please review the docs for https://huggingface.co/onnx-community/Qwen3.5-0.8B-ONNX
I think we might need to be on transformers@next and we might need to using a qwen3.5 specific function. We should probably check all models for this sort of shenanigans.
Here is the section from the page in case it's inaccessible.
Here is the error you need to fix now