Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model87 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model87 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model87")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model87") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model87", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 665423a2185d16ce8f4f493477af6ff56d0ffa90ea080bffd76c2820f55eee1c
- Size of remote file:
- 5.37 kB
- SHA256:
- ae0c684e82d8634ff12bda5b6d2ea5913cff5ed63f9d8f444bebeb48a06afd6b
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