Instructions to use melll-uff/bertweetbr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melll-uff/bertweetbr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="melll-uff/bertweetbr")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("melll-uff/bertweetbr") model = AutoModelForMaskedLM.from_pretrained("melll-uff/bertweetbr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a937270f7ab6ea748cb0ef33e33fae0e07032508fceebec6b804f37e7507ef7a
- Size of remote file:
- 540 MB
- SHA256:
- ba5aba8489b6e184d2b5f81968210582aaed300ac44cf8a80ffb9e4420ff83b6
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