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flair is an open-source natural language processing (NLP) framework designed to provide researchers with a flexible and efficient toolset for various text analysis tasks. This product offers an out-of-the-box Flair solution based on the arm architecture of the Huawei Cloud EulerOS 2.0 64-bit system.
- A Powerful NLP Library Flair enables you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), sentiment analysis, part-of-speech tagging (PoS), special support for biomedical texts, semantic disambiguation, and classification, with support for a rapidly growing number of languages.
- A Text Embedding Library Flair has a simple interface that allows you to use and combine different word and document embeddings, including our proposed Flair embeddings and various transformers.
- A PyTorch NLP Framework Our framework is directly built on PyTorch, making it easy to train your own models and experiment with new approaches using Flair embeddings and classes.
The open-source image product Flair Natural Language Processing Tool provided by this project has Flair v0.15.1 and its related runtime environment pre-installed and also offers deployment templates. Refer to the usage guide and start your efficient "out-of-the-box" experience now!
System requirements are as follows:
- CPU: 2vCPUs or higher
- RAM: 8GB or more
- Disk: At least 40GB
Register a Huawei account and activate Huawei Cloud
| Image Specification | Feature Description | Remarks |
|---|---|---|
| Flair-0.15.1-kunpeng | Installed and deployed based on Kunpeng servers + Huawei Cloud EulerOS 2.0 64-bit |
- For more questions, you can contact us via issues or the service support of the specified product in the Huawei Cloud Marketplace.
- For other open-source images, refer to open-source-image-repos.
- Fork this repository and submit a merge request.
- Synchronously update README.md based on your open-source image information.