Instructions to use joost6196/GoEmotions_XMLbase_Dutch_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joost6196/GoEmotions_XMLbase_Dutch_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joost6196/GoEmotions_XMLbase_Dutch_V2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joost6196/GoEmotions_XMLbase_Dutch_V2") model = AutoModelForSequenceClassification.from_pretrained("joost6196/GoEmotions_XMLbase_Dutch_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec88484751f23a69eec9280ffdc0178a2512986032abf4c3054a776330c6afa5
- Size of remote file:
- 1.11 GB
- SHA256:
- 11c40e9ff6ee7cf88ddce9ee9a6e20d6c2b7245169a7f621c6bcee7fa7f07474
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