Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model91 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model91 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model91")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model91") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model91", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
56cf94f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:da8555de2650ab26d0b8f70b9013396ba4582cd9567d5ffd919a4e0aeef11f7a
size 5368
|