Instructions to use alexandrainst/da-subjectivivity-classification-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandrainst/da-subjectivivity-classification-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexandrainst/da-subjectivivity-classification-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexandrainst/da-subjectivivity-classification-base") model = AutoModelForSequenceClassification.from_pretrained("alexandrainst/da-subjectivivity-classification-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13b950e9a5af7b423fc3e6e35586c4bc936ee843011f413cc0f0d87ff94282e2
- Size of remote file:
- 1.26 kB
- SHA256:
- a40ac11547ca1fbb9d985ba012e7fa8b1ec8b7e1c05303e289b40ab18b7c6c35
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