Instructions to use AnonymousCS/populism_model330 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model330 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model330")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model330") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model330") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1670009a3648bb7415d23a739eef6e5e6efa83ebc658489eaad5d29011fc8d46
- Size of remote file:
- 5.3 kB
- SHA256:
- daab0f1aff7eba229a64014ca29f93a2e668c4c7ef16dbded65a83d35b1b359b
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