You can export a PyTorch model to Neuron with 🤗 Optimum to run inference on AWS Inferntia 1 and Inferentia 2.
There is an export function for each generation of the Inferentia accelerator, export_neuron
for INF1 and export_neuronx on INF2, but you will be able to use directly the export function export, which will select the proper
exporting function according to the environment.
Besides, you can check if the exported model is valid via validate_model_outputs, which compares
the compiled model’s output on Neuron devices to the PyTorch model’s output on CPU.
| Architecture | Task |
|---|---|
| ALBERT | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| BERT | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| BLOOM | text-generation |
| CamemBERT | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| ConvBERT | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| DeBERTa (INF2 only) | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| DeBERTa-v2 (INF2 only) | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| DistilBERT | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| ELECTRA | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| FlauBERT | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| GPT2 | text-generation |
| Llama, Llama 2 | text-generation |
| Mistral | text-generation |
| MobileBERT | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| MPNet | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| OPT | text-generation |
| RoBERTa | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| RoFormer | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| XLM | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| XLM-RoBERTa | feature-extraction, fill-mask, multiple-choice, question-answering, text-classification, token-classification |
| Stable Diffusion | text-to-image, image-to-image, inpaint |
| Stable Diffusion XL Base | text-to-image, image-to-image, inpaint |
| Stable Diffusion XL Refiner | image-to-image, inpaint |
More details for checking supported tasks here.
More architectures coming soon, stay tuned! 🚀