Instructions to use AnonymousCS/populism_classifier_bsample_411 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_411 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_411")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_411") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_411", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19b03f15f9da762e7c1c0a73ce53a2fc2be47c06f4710b1d12993f4d86b8da1c
- Size of remote file:
- 2.3 GB
- SHA256:
- 45af692babeb5d6bf9845754c5a4c3b55d1e0bd243da8cf86b08aed38e944be4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.