DocumentationFull API documentation and more Installation This repo is tested on Python 3.6+, PyTorch 1.0.0+ (PyTorch 1.3.1+ for examples) and TensorFlow 2.0. You should install 🤗 Transformers in avirtual environment. If you're unfamiliar with Python virtual environments, check out theuser gui...
[Documentation](v2.5.0)(v2.4.0/v2.4.1)(v2.3.0)(v2.2.0/v2.2.1/v2.2.2)(v2.1.1)(v2.0.0)(v1.2.0)(v1.1.0)(v1.0.0)(master)Full API documentation and more Installation This repo is tested on Python 3.6+, PyTorch 1.0.0+ and TensorFlow 2.0. ...
For more information, check out the fulldocumentation. Quick tour It's super simple to translate from existing code! Just like the python library, we support thepipelineAPI. Pipelines group together a pretrained model with preprocessing of inputs and postprocessing of outputs, making it the easies...
You can install the HuggingFace Transformers library using pip, a package manager forPython: pip install transformers 2. Importing Libraries After installation, you need to import the necessary modules in your Python script or notebook: from transformers import pipeline, AutoTokenizer, AutoModel 3. T...
First, create a virtual environment with the version of Python you’re going to use and activate it. Then, you will need to install at least one of Flax, PyTorch or TensorFlow. Please refer to TensorFlow installation page, PyTorch installation page and/or Flax and Jax installation pages regar...
mlm_insights.core.transformers.asteval packageSubmodules mlm_insights.core.transformers.asteval.ast_evaluator module Safe(ish) evaluation of mathematical expression using Python’s ast module. This module provides an Interpreter class that compiles a restricted set of Python expressions and ...
Toggle navigation of mlm_insights.core package mlm_insights.core.data_sources package mlm_insights.core.features package mlm_insights.core.interfaces package mlm_insights.core.metrics package Toggle navigation of mlm_insights.core.metrics package mlm_insights.core.post_processors ...
Nowopenaiis available as both a Python package and as a shell command. Next, I recommend that you set up your API key as the environment variable. In Linux, type in the terminal exportOPENAI_API_KEY="<OPENAI_API_KEY>" Where <OPENAI_API_KEY> is your API key. You...
Transformers works with Python 3.9+PyTorch2.1+,TensorFlow2.6+, andFlax0.4.1+. Create and activate a virtual environment withvenvoruv, a fast Rust-based Python package and project manager. # venvpython-mvenv.my-envsource.my-env/bin/activate# uvuvvenv.my-envsource.my-env/bin/activate ...
[Documentation](v2.4.0)(v2.3.0)(v2.2.0/v2.2.1/v2.2.2)(v2.1.1)(v2.0.0)(v1.2.0)(v1.1.0)(v1.0.0)(master)Full API documentation and more Installation This repo is tested on Python 3.5+, PyTorch 1.0.0+ and TensorFlow 2.0.0-rc1 ...