Instructions to use Raychanan/Longformer_Conflict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raychanan/Longformer_Conflict with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Raychanan/Longformer_Conflict")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Raychanan/Longformer_Conflict") model = AutoModelForSequenceClassification.from_pretrained("Raychanan/Longformer_Conflict", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc97beee9b1429f84c41b40a14bcdcff10790f72087a9587ae6ebc553a1a224f
- Size of remote file:
- 595 MB
- SHA256:
- f56380d2a36dc9bc9d5d1f1be65d61b2260f415af925af2ef8655f17819ee807
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