Instructions to use BertChristiaens/EmojiPredictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BertChristiaens/EmojiPredictor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BertChristiaens/EmojiPredictor")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BertChristiaens/EmojiPredictor") model = AutoModelForTokenClassification.from_pretrained("BertChristiaens/EmojiPredictor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fb79647d4cb2379e5a22abeddee3aa0de690055d280857c0adcb61dab841b24
- Size of remote file:
- 245 MB
- SHA256:
- d6ae82d09589b9915bc9fef39b97305cdc9419d375cf15b04d802c1e92b25230
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