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:
- c13fe4f112e7924a478f3b601bc7661f98666d00870cac7d6ee9b4cd85532e34
- Size of remote file:
- 496 MB
- SHA256:
- d226c14bde86038e7b0f607238e345b33c93e43f54abe7a919721a336c985669
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