Instructions to use arm-on/BERTweet-FA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arm-on/BERTweet-FA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="arm-on/BERTweet-FA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("arm-on/BERTweet-FA") model = AutoModelForMaskedLM.from_pretrained("arm-on/BERTweet-FA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Contributors
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- [Arman Malekzadeh](http://ce.sharif.edu/~malekzaadeh/), PhD Student in AI @ Sharif University of Technology | [Linkedin](https://www.linkedin.com/in/arman-malekzadeh/) [Github](https://github.com/arm-on)
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- [Arman Malekzadeh](http://ce.sharif.edu/~malekzaadeh/), PhD Student in AI @ Sharif University of Technology | [Linkedin](https://www.linkedin.com/in/arman-malekzadeh/) | [Github](https://github.com/arm-on)
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