Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model347 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model347 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model347")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model347") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model347", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a54d32b3a35928c95a3b7e55792c2ff26b2bac52d1dd632a857a34b0f21729c1
- Size of remote file:
- 5.3 kB
- SHA256:
- 3e6f7ad08bb09ec13abbed6fe5241ea15e6123283202dce471931d45c3a523c0
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