Instructions to use AnonymousCS/populism_classifier_bsample_155 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_155 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_155")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_155") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_155", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72a054b940dfa16dc352a40b6dc65150683083903230d73307a5e39b6e3fbe49
- Size of remote file:
- 711 MB
- SHA256:
- e0d9d40ac942e535dc014acdb79b433733c4f5b1af0f44e90c289365395a0dba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.