Instructions to use AnonymousCS/populism_classifier_141 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_141 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_141")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_141") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_141", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efeed90a17c2513c2185267eb51f836e7d4894e2c43f426d20fbf530f77d87cf
- Size of remote file:
- 5.43 kB
- SHA256:
- e38d52eb9830432c17cdfdd83d5a08835d8631fcb54150c4a1bb8300256b3219
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