totally harmless model

Introduction

The "Totally Harmless Model" is a machine learning model available on Hugging Face, designed for feature extraction using the Transformers library, specifically with PyTorch. It is built on the DistilBERT architecture and supports the English language.

Architecture

This model utilizes DistilBERT, a smaller and faster version of BERT, which retains most of its language understanding abilities. It is optimized for performance and efficiency, making it suitable for tasks requiring feature extraction.

Training

Details about the training process for this model are not explicitly provided. However, the model leverages pre-trained weights from the DistilBERT model available through Hugging Face.

Guide: Running Locally

To run the "Totally Harmless Model" locally, follow these steps:

1. Install Transformers Library: Ensure you have the Transformers library installed. You can install it via pip:

   pip install transformers
   

2. Load the Model: Use the following code to load and use the model:

   from transformers import AutoModel
   model = AutoModel.from_pretrained("ykilcher/totally-harmless-model")
   

3. Execution Environment: For optimal performance, consider using cloud-based GPU services such as AWS, Google Cloud, or Azure that support PyTorch and Transformers.

License

The licensing details for the "Totally Harmless Model" are not specified in the provided information. It is advisable to check the Hugging Face model card or repository for specific licensing terms.