Instructions to use vinai/bertweet-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/bertweet-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vinai/bertweet-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vinai/bertweet-large") model = AutoModelForMaskedLM.from_pretrained("vinai/bertweet-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f510a36142c54cf9fb7262ebcf134519b9f9bc261f03b32a64c48dd9ca0da44
- Size of remote file:
- 1.42 GB
- SHA256:
- 36af147452ccf8846e38283d143efb1e1e003fd28c895008eed78a0a2e47794c
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