Instructions to use nilaB97/bertweet-refugee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nilaB97/bertweet-refugee with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nilaB97/bertweet-refugee")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nilaB97/bertweet-refugee") model = AutoModelForMaskedLM.from_pretrained("nilaB97/bertweet-refugee") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Finetuned model of the BerTweet-base model. Bad performance, should not be used as such. The tokenizer of BerTweet-base has to be used.
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