About 517,000 results
Open links in new tab
  1. python - How to install a language model - Stack Overflow

    Sep 7, 2019 · To install a specific model, run the following command with the model name (for example en_core_web_lg): python -m spacy download [model] To load a model, use spacy.load() with the model name, a shortcut link or a path to the model data directory.

  2. keras-models · PyPI

    This repo aims at providing both reusable Keras Models and pre-trained models, which could easily integrated into your projects. If you will using the NLP models, you need run one more command: LinearModel. DNN. CNN. SkipGram. WideDeep. VGG16_Places365. This model is forked from GKalliatakis/Keras-VGG16-places365 and CSAILVision/places365. WideDeep

  3. models - PyPI

    Feb 20, 2010 · PyModels is a lightweight framework for mapping Python classes to schema-less databases. It is not an ORM as it doesn’t map existing schemata to Python objects but instead defines them on a higher layer built upon a schema-less …

  4. cmd - "pip install models" - "python setup.py egg_info” failed …

    Aug 15, 2018 · It looks like models was renamed to pymodels then renamed again to doqu (source code) which I was able to install the latest version from pypi. Is this legacy code? Will Doqu work for your purposes? pip install doqu

  5. Installing Python Modules — Python 3.13.3 documentation

    3 days ago · pip is the preferred installer program. Starting with Python 3.4, it is included by default with the Python binary installers. A virtual environment is a semi-isolated Python environment that allows packages to be installed for use by a particular application, rather than being installed system wide.

  6. Install and Run Llama3.3 70B LLM Model Locally in Python

    Dec 11, 2024 · – In this tutorial, we explain how to install and run Llama 3.3 70B LLM in Python on a local computer. Llama 3.3 70B model offers similar performance compared to the older Llama 3.1 405B model. However, the Llama 3.3 70B model is smaller, and it can run on computers with lower-end hardware.

  7. Learning Model Building in Scikit-learn - GeeksforGeeks

    Jan 29, 2025 · In this article we will learn essential features and techniques for building machine learning models using Scikit-learn. The latest version of Scikit-learn is 1.1 and it requires Python 3.8 or newer. Scikit-learn requires: SciPy as its dependencies. Before installing scikit-learn, ensure that you have NumPy and SciPy installed.

  8. How to install and use Spacy models? - ProjectPro

    Sep 6, 2023 · Let us see how to download Spacy model and use them. NLP Techniques to Learn for your Next NLP Project. The following steps will help you understand how to install Spacy in Python. !pip install spacy. !python -m spacy download en_core_web_sm-2.2.0. import spacy load_model = spacy.load ("en_core_web_sm") doc = load_model ("Hi my name is mak") doc.

  9. How to Train Tensorflow Models in Python - GeeksforGeeks

    Jul 31, 2023 · In this article, we will explore the process of training TensorFlow models in Python. Let us see some basic steps needed to train a TensorFlow model: Before we begin, make sure you have TensorFlow installed on your system. You can use pip, the Python package manager, to install TensorFlow by running the following command in your terminal:

  10. Error installing models for python - Stack Overflow

    Jul 17, 2017 · So may be you can try with - pip install pymodels, if this is what you are looking for. Then there could be a path and installation issue. According to @Ofer Sadan's comment, check your sys.path output, what all paths is it showing.

  11. Some results have been removed
Refresh