Instructions to use vinai/bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vinai/bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vinai/bertweet-base") model = AutoModelForMaskedLM.from_pretrained("vinai/bertweet-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dcdd89200c02bf0b3bc5b29cddff168c145ea804886b22fc65d3a0ac5a6b0f8
- Size of remote file:
- 543 MB
- SHA256:
- 8831d06dd76f46e41d90b213961a99929862ce2dc778f931f7ecdfabe0dd1c97
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