Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_238 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_238 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_238")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_238") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_238", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73a5e1a8bbf122ac198af0dbd7af8e1c91d48048d3f47710d1f856e376445738
- Size of remote file:
- 5.43 kB
- SHA256:
- c2984975f13c20164075d45d914bbc6400f038407dbb15dafac165e62acd368f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.