Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model182 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model182 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model182")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model182") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model182", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bdc32d3a6ca471957c12a51736d71332c393ec670a26cb169f7faca3cdd917c
- Size of remote file:
- 5.37 kB
- SHA256:
- 7de795c30c76fc5bdea30a7ad41955258ab56a9ac1628957191a444bc73ea33e
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