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
add model
Browse files
pytorch_model.bin
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runs/Jul01_10-33-45_d3b459ebe499/events.out.tfevents.1656671896.d3b459ebe499.81.0
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