Instructions to use Rodion111/tensorrt-eyelike-oob-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use Rodion111/tensorrt-eyelike-oob-poc with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| import faulthandler, sys, tensorrt as trt | |
| faulthandler.enable(file=sys.stderr, all_threads=True) | |
| logger = trt.Logger(trt.Logger.VERBOSE) | |
| builder = trt.Builder(logger) | |
| flag = 1 << int(trt.NetworkDefinitionCreationFlag.EXPLICIT_BATCH) | |
| network = builder.create_network(flag) | |
| parser = trt.OnnxParser(network, logger) | |
| with open('eyelike_oob_input.onnx', 'rb') as f: | |
| blob = f.read() | |
| print('about to parse', len(blob), 'bytes', flush=True) | |
| ok = parser.parse(blob) | |
| print('parse() returned', ok) | |
| for i in range(parser.num_errors): | |
| print(' err', i, ':', parser.get_error(i)) | |