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")# pip install -U transformers accelerate # 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
Training in progress, step 7000
Browse files
pytorch_model.bin
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runs/Apr16_03-57-10_784672f2512a/events.out.tfevents.1650081466.784672f2512a.74.0
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