DistilGPT2 has a range of potential use cases for researchers and developers. Its smaller size and ease of use make it suitable for those looking to better understand and study large-scale generative language models. Additionally, DistilGPT2 can be utilized to build applications such as chatbots, virtual assistants, or content generators. Its ability to generate text makes it an invaluable tool for tasks such as language translation, summarization, and text completion. One practical use case for this model is the Write With Transformers web app, developed by the Hugging Face team, which allows users to interact with and generate text using DistilGPT2 directly from their browser. With further exploration and experimentation, this model has the potential to fuel the development of innovative and creative AI applications.
- Cost per run
- Avg run time
|Distilbert Base Cased||$?||558,881|
|Bert Base Cased||$?||5,895,746|
You can use this area to play around with demo applications that incorporate the Distilgpt2 model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.
Summary of this model and related resources.
DistilGPT2 (short for Distilled-GPT2) is an English-language model pre-trai...Read more »
|Model Link||View on HuggingFace|
|API Spec||View on HuggingFace|
|Github Link||No Github link provided|
|Paper Link||No paper link provided|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$-|
|Average Completion Time||-|