Instructions to use Only-Mike/dk_emotion_bert_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Only-Mike/dk_emotion_bert_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Only-Mike/dk_emotion_bert_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Only-Mike/dk_emotion_bert_2") model = AutoModelForSequenceClassification.from_pretrained("Only-Mike/dk_emotion_bert_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e14a113c82fa8c3be78146d819b72b650fb981d26be9d3b23708bfcb08e1ded0
- Size of remote file:
- 3.52 kB
- SHA256:
- d876634e61fd8d70b1f0eaae0fc985316cbddabc30d218adbc3ae0b3ad77e8e5
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