transfer-learning-conv-ai | 🦄 State-of-the-Art Conversational AI with Transfer | Chat library

by huggingface Python Version: Current License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | transfer-learning-conv-ai Summary

transfer-learning-conv-ai is a Python library typically used in Institutions, Learning, Education, Messaging, Chat, Deep Learning, Pytorch, Tensorflow applications. transfer-learning-conv-ai has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

State-of-the-Art Conversational AI with Transfer Learning

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Quality

Security

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Support

transfer-learning-conv-ai has a medium active ecosystem.

It has 1644 star(s) with 418 fork(s). There are 81 watchers for this library.

It had no major release in the last 6 months.

There are 62 open issues and 47 have been closed. On average issues are closed in 83 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of transfer-learning-conv-ai is current.

Quality

transfer-learning-conv-ai has 0 bugs and 0 code smells.

Security

transfer-learning-conv-ai has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

transfer-learning-conv-ai code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

transfer-learning-conv-ai is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

transfer-learning-conv-ai releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

transfer-learning-conv-ai saves you 278 person hours of effort in developing the same functionality from scratch.

It has 673 lines of code, 27 functions and 6 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed transfer-learning-conv-ai and discovered the below as its top functions. This is intended to give you an instant insight into transfer-learning-conv-ai implemented functionality, and help decide if they suit your requirements.

Start training
Run the command
Get data loaders
Filtering logits with a given threshold
Generate a sequence of tokens
Get a dataset
Build a input from a list of tokens
Download pretrained pretrained model
Create logdir for a model
Adds special tokens to the model
Pad a dataset
Observe an observation
Reset the profile
Run the script
Actual actions
Compute the probability of the next word

Get all kandi verified functions for this library.

transfer-learning-conv-ai Key Features

No Key Features are available at this moment for transfer-learning-conv-ai.

transfer-learning-conv-ai Examples and Code Snippets

NeuralPipeline_DSTC8,How to train

Python

Lines of Code : 6

License : No License

Copy

cd ConvLab # (working directory)
cd data/multiwoz
unzip total_v4.zip
unzip val_v4.zip
cd ../../  # (working directory)
python -m torch.distributed.launch --nproc_per_node=${#OfGPUs, e.g.2} convlab/modules/e2e/multiwoz/Transformer/train.py --dataset_p

Community Discussions

Trending Discussions on transfer-learning-conv-ai

No module named 'numpy' during docker build

QUESTION

No module named 'numpy' during docker build

Asked 2021-May-27 at 16:31

I am following the instruction (https://github.com/huggingface/transfer-learning-conv-ai) to install conv-ai from huggingface, but I got stuck on the docker build step: docker build -t convai .

I am using Mac 10.15, python 3.8, increased Docker memory to 4G.

I have tried the following ways to solve the issue:

add numpy in requirements.txt
add RUN pip3 install --upgrade setuptools in Dockerfile
add --upgrade to RUN pip3 install -r /tmp/requirements.txt in Dockerfile
add RUN pip3 install numpy before RUN pip3 install -r /tmp/requirements.txt in Dockerfile
add RUN apt-get install python3-numpy before RUN pip3 install -r /tmp/requirements.txt in Dockerfile
using python 3.6.13 because of this post, but it has exact same error.
I am currently working on debugging inside the container by entering right before the RUN pip3 install requirements.txt

Can anyone help me on this? Thank you!!

The error:

...

ANSWER

Answered 2021-Mar-12 at 15:47

Did you try adding numpy into the requirements.txt? It looks to me that it is missing.

Source https://stackoverflow.com/questions/66602656

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install transfer-learning-conv-ai

To install and use the training and inference scripts please clone the repo and install the requirements:.
To install using docker please build the self-contained image:. You can then enter the image.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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