Instructions to use IlyaGusev/roberta-base-informal-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IlyaGusev/roberta-base-informal-tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="IlyaGusev/roberta-base-informal-tagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("IlyaGusev/roberta-base-informal-tagger") model = AutoModelForTokenClassification.from_pretrained("IlyaGusev/roberta-base-informal-tagger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 246306d290cbd7869bbd52ddd0897376085be40b6caf1890196469b3bb4d1cf7
- Size of remote file:
- 2.11 MB
- SHA256:
- e0c1d3ba50ffff76e007225d3a727e341d12241337d1120294080221eadbda7b
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