Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 657 Bytes
2216aae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | /*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <string>
namespace libkineto {
class ClientInterface {
public:
virtual ~ClientInterface() {}
virtual void init() = 0;
virtual void prepare(bool, bool, bool, bool, bool) = 0;
virtual void start() = 0;
virtual void stop() = 0;
virtual void start_memory_profile() = 0;
virtual void stop_memory_profile() = 0;
virtual void export_memory_profile(const std::string&) = 0;
};
} // namespace libkineto
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