Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model006 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model006 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model006")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model006") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model006", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 373837d782c2916dbb413db136a6cad5ec071b53589a38fc44d597f03ef4b60c
- Size of remote file:
- 5.37 kB
- SHA256:
- 271c70adef8ee1464075a40e4a904735b7f1d2baa0f24606d58c4883b3e0d3f1
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