Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_241 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_241 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_241")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_241") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_241", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 641870b2ffe7a35233716bffb8ef940c4c0aa8c7510a7fb6c12e99b4925d6da5
- Size of remote file:
- 499 MB
- SHA256:
- 68a2ef2360ca23310f43d5747e24397cdc6b4454decdd81c0e1480ca633eb795
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