Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use hermanda/robeczech-propaganda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hermanda/robeczech-propaganda with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hermanda/robeczech-propaganda")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hermanda/robeczech-propaganda") model = AutoModelForSequenceClassification.from_pretrained("hermanda/robeczech-propaganda") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d859b1aeb4dfe9ac031c406a84712d7b5cdaac680dd7f4b67a34a8d95bca1e53
- Size of remote file:
- 5.2 kB
- SHA256:
- bccf4f83305c7ff8c18dbdc10f970925cdd822e9e5e6ec12a2317b8a9bab8654
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