Instructions to use AnonymousCS/populism_classifier_bsample_325 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_325 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_325")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_325") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_325", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33249e398f0036e8472e826f5f70d964caa51efa828311f23d9b6e8f230410b2
- Size of remote file:
- 5.43 kB
- SHA256:
- 5350d2f0d8bffb0e3c81c1ec41db480d3b44509503749e70bd954cd0a45e2b1e
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