Fariz
Fariz
from deepsparse import Pipeline sa_pipeline = Pipeline.create( task="sentiment-analysis", model_path="/content/bert-sentiment-onnx-fp16-opset" ) inference = sa_pipeline("Aku suka itu") print(inference) [/usr/local/lib/python3.10/dist-packages/deepsparse/engine.py](https://localhost:8080/#) in run(self, inp, val_inp) 530 self._validate_inputs(inp) 531 --> 532 return self._eng_net.execute_list_out(inp) 533 534...
I have the model but I want to increase the maximum input tokens as the purpose of lsg converter. Is it possible after converting to lsg but inference using openvino?...
I found the issue of not being able to install the package because of errors like the following ERROR: Command errored out with exit status 1: /home/fariz/anaconda3/envs/sort/bin/python -u -c 'import...
Caused by: HTTP status client error (401 Unauthorized) for url (http://repo-private-huggingface)