Instructions to use HyukII/text-emotion-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HyukII/text-emotion-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HyukII/text-emotion-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HyukII/text-emotion-model") model = AutoModelForSequenceClassification.from_pretrained("HyukII/text-emotion-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3167ef770b90dc025a7d67e4bb18f388d74c3058ba64968ed150b1a66d345072
- Size of remote file:
- 5.34 kB
- SHA256:
- ac293ec6402dcd2b10fa9ce22c5e955dab395703b4804a91bde23710da348cbb
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