Instructions to use YagiASAFAS/MSPoliBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YagiASAFAS/MSPoliBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YagiASAFAS/MSPoliBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YagiASAFAS/MSPoliBERT") model = AutoModelForSequenceClassification.from_pretrained("YagiASAFAS/MSPoliBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bff4c60cf977ad6d337e0dc07958673724f4a070a84df72ce4064ddc27dba341
- Size of remote file:
- 3.58 kB
- SHA256:
- 3ba48d8b11c6c47e4d067fd648600141b66fccb1d5263174d6cb7786878f557a
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