scisharp - TensorFlow.NET 0.150.0-BERT-Model-17-gd0208976-nightly
Google's TensorFlow full binding in .NET Standard. Building, training and infering deep learning models. https://tensorflownet.readthedocs.io
PM> Install-Package TensorFlow.NET -Version 0.150.0-BERT-Model-17-gd0208976-nightly -Source https://www.myget.org/F/scisharp/api/v3/index.json
> nuget.exe install TensorFlow.NET -Version 0.150.0-BERT-Model-17-gd0208976-nightly -Source https://www.myget.org/F/scisharp/api/v3/index.json
> dotnet add package TensorFlow.NET --version 0.150.0-BERT-Model-17-gd0208976-nightly --source https://www.myget.org/F/scisharp/api/v3/index.json
<PackageReference Include="TensorFlow.NET" Version="0.150.0-BERT-Model-17-gd0208976-nightly" />source https://www.myget.org/F/scisharp/api/v3/index.json
nuget TensorFlow.NET ~> 0.150.0-BERT-Model-17-gd0208976-nightly> choco install TensorFlow.NET --version 0.150.0-BERT-Model-17-gd0208976-nightly --source https://www.myget.org/F/scisharp/api/v2
Import-Module PowerShellGet
Register-PSRepository -Name "scisharp" -SourceLocation "https://www.myget.org/F/scisharp/api/v2"
Install-Module -Name "TensorFlow.NET" -RequiredVersion "0.150.0-BERT-Model-17-gd0208976-nightly" -Repository "scisharp" -AllowPreReleasetf.net 0.150.x and above are based on tensorflow native 2.15.0 * Support BERT model.
tf.net 0.110.x and above are based on tensorflow native 2.11.0
* Support RNN, LSTM model.
* Support Transformer model.
* Added IMDB dataset.
tf.net 0.100.x and above are based on tensorflow native 2.10.0
* Eager Mode is added finally.
* tf.keras is partially working.
* tf.data is added.
* Autograph works partially.
* Improve memory usage.
TensorFlow .NET v0.3x is focused on making more Keras API works.
Keras API is a separate package released as TensorFlow.Keras.
tf.net 0.4x.x aligns with TensorFlow v2.4.1 native library.
tf.net 0.6x.x aligns with TensorFlow v2.6.x native library.
tf.net 0.7x.x aligns with TensorFlow v2.7.x native library.
tf.net 0.10x.x aligns with TensorFlow v2.10.x native library.
tf.net 0.11x.x aligns with TensorFlow v2.11.x native library.
tf.net 0.15x.x aligns with TensorFlow v2.15.x native library.
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.NETFramework 6.0
- MethodBoundaryAspect.Fody (>= 2.0.149)
- Newtonsoft.Json (>= 13.0.3)
- OneOf (>= 3.0.263)
- Protobuf.Text (>= 0.7.2)
- Razorvine.Pickle (>= 1.4.0)
- Serilog.Sinks.Console (>= 4.1.0)
-
.NETStandard 2.0
- MethodBoundaryAspect.Fody (>= 2.0.149)
- Newtonsoft.Json (>= 13.0.3)
- OneOf (>= 3.0.263)
- Protobuf.Text (>= 0.7.2)
- Razorvine.Pickle (>= 1.4.0)
- Serilog.Sinks.Console (>= 4.1.0)
- .NETFramework 6.0: 6.0.0.0
- .NETStandard 2.0: 2.0.0.0
OwnersHaiping Chen |
AuthorsHaiping Chen, Eli Belash, Yaohui Liu, Meinrad Recheis |
Project URLhttp://scisharpstack.org/ |
LicenseUnknown |
TagsTensorFlow, SciSharp, Machine Learning, TensorFlow.NET, TF.NET, AI |
Info2268 total downloads |
| 75 downloads for version 0.150.0-BERT-Model-17-gd0208976-nightly |
| Download (2.76 MB) |
| Found on the current feed only |
Package history
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0.150.0-BERT-Model-46-g6a2d7e1c-nightly | 2.76 MB | Tue, 02 Jul 2024 21:14:22 GMT | 73 |
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0.150.0-BERT-Model-42-g7fb73cda-nightly | 2.76 MB | Tue, 02 Jul 2024 20:55:53 GMT | 90 |
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0.150.0-BERT-Model-40-g0392027f-nightly | 2.76 MB | Wed, 19 Jun 2024 00:09:26 GMT | 75 |
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0.150.0-BERT-Model-4-gee004c01-nightly | 2.76 MB | Tue, 07 Nov 2023 16:39:46 GMT | 82 |
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0.150.0-BERT-Model-33-gb72c803f-nightly | 2.76 MB | Tue, 21 May 2024 04:06:52 GMT | 79 |
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0.150.0-BERT-Model-30-g8775b0b8-nightly | 2.76 MB | Mon, 29 Apr 2024 03:01:05 GMT | 73 |
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0.150.0-BERT-Model-25-g8cab730f-nightly | 2.76 MB | Sat, 11 Nov 2023 07:47:41 GMT | 90 |
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0.150.0-BERT-Model-19-g59b08cab-nightly | 2.76 MB | Fri, 10 Nov 2023 19:25:22 GMT | 84 |
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0.150.0-BERT-Model-17-gd0208976-nightly | 2.76 MB | Fri, 10 Nov 2023 19:22:19 GMT | 75 |
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0.110.4-Transformer-Model-9-g43c37051-nightly | 2.76 MB | Fri, 06 Oct 2023 01:19:24 GMT | 83 |
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0.110.4-Transformer-Model-7-gf16902dd-nightly | 2.76 MB | Tue, 03 Oct 2023 11:56:22 GMT | 77 |
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0.110.4-Transformer-Model-5-g0ee9d424-nightly | 2.76 MB | Mon, 02 Oct 2023 01:19:26 GMT | 76 |
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0.110.4-Transformer-Model-33-gf7459b32-nightly | 2.76 MB | Sun, 05 Nov 2023 14:59:14 GMT | 74 |
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0.110.4-Transformer-Model-30-g6aa2ab2a-nightly | 2.76 MB | Sun, 05 Nov 2023 13:24:30 GMT | 82 |
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0.110.4-Transformer-Model-3-g15763dfb-nightly | 2.76 MB | Fri, 29 Sep 2023 19:22:08 GMT | 69 |
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0.110.4-Transformer-Model-28-g7f0bde33-nightly | 2.76 MB | Sun, 05 Nov 2023 13:21:43 GMT | 80 |
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0.110.4-Transformer-Model-26-g44bdddc5-nightly | 2.76 MB | Sat, 04 Nov 2023 23:21:39 GMT | 85 |
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0.110.4-Transformer-Model-24-g079b9a33-nightly | 2.76 MB | Fri, 20 Oct 2023 12:06:09 GMT | 82 |
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0.110.4-Transformer-Model-20-ge79ecb79-nightly | 2.76 MB | Fri, 20 Oct 2023 12:05:16 GMT | 85 |
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0.110.4-Transformer-Model-18-gd5f5c57c-nightly | 2.76 MB | Wed, 18 Oct 2023 10:28:58 GMT | 74 |
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0.110.4-Transformer-Model-16-g9e3654bf-nightly | 2.76 MB | Wed, 11 Oct 2023 18:34:33 GMT | 92 |
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0.110.4-Transformer-Model-13-g090dc1ee-nightly | 2.76 MB | Sun, 08 Oct 2023 21:49:53 GMT | 89 |
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0.110.0-LSTM-Model-99-g74afa143-nightly | 2.75 MB | Mon, 18 Sep 2023 07:51:02 GMT | 82 |
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0.110.0-LSTM-Model-97-gc814fe12-nightly | 2.75 MB | Fri, 15 Sep 2023 19:47:24 GMT | 83 |
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0.110.0-LSTM-Model-95-geb49be09-nightly | 2.75 MB | Fri, 15 Sep 2023 19:48:07 GMT | 79 |
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0.110.0-LSTM-Model-8-g6264c791-nightly | 2.73 MB | Fri, 30 Jun 2023 13:51:02 GMT | 95 |
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0.110.0-LSTM-Model-105-g8e026826-nightly | 2.75 MB | Sun, 24 Sep 2023 01:17:24 GMT | 78 |
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0.110.0-LSTM-Model-103-g3811e4e1-nightly | 2.75 MB | Thu, 21 Sep 2023 14:38:44 GMT | 82 |
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