Instructions to use verissimomanoel/RobertaTwitterBR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use verissimomanoel/RobertaTwitterBR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="verissimomanoel/RobertaTwitterBR")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("verissimomanoel/RobertaTwitterBR") model = AutoModelForMaskedLM.from_pretrained("verissimomanoel/RobertaTwitterBR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee75c4f72252ceea8952b847a8e1534b47d225a018141d87349187381371867b
- Size of remote file:
- 635 MB
- SHA256:
- 58fd2b65195a7e4e95a37c76597d563a14774f9c17b1ea689e95057b32fb94ff
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