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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4588b5409193c0c805924d120a08aaab25ca4f55d143a265acd23b3753522bf2
- Size of remote file:
- 636 MB
- SHA256:
- 53e5bfce2a5b11c3baba48790e2cc8b0c6fe11a96b45ef5ab890e8505923ee7c
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