Instructions to use AnonymousCS/populism_classifier_bsample_035 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_035 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_035")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_035") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_035", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c220b03a88006b523b437f47d5a99582c83ddc2846e611355a0c087be0ca98a
- Size of remote file:
- 5.43 kB
- SHA256:
- bd06f73c9bf40da26dfd88c199db2abe00c5c3629fc63eb330fbb4b80435ab48
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.