Instructions to use emilys/twitter-roberta-base-WNUT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilys/twitter-roberta-base-WNUT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="emilys/twitter-roberta-base-WNUT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("emilys/twitter-roberta-base-WNUT") model = AutoModelForTokenClassification.from_pretrained("emilys/twitter-roberta-base-WNUT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f773c7ca58a7074986beaf0bd2fafaed9a54ba77ab04b4687e1a9c584eb6762a
- Size of remote file:
- 3.25 kB
- SHA256:
- 90adf6ab69ef6f018c6680d912dc6a4ad421016865015ce893f0cd8ec479ab35
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