Instructions to use jayanta/roberta-harmeme-C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayanta/roberta-harmeme-C with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jayanta/roberta-harmeme-C")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jayanta/roberta-harmeme-C") model = AutoModelForSequenceClassification.from_pretrained("jayanta/roberta-harmeme-C", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
pytorch_model.bin
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runs/Mar20_18-21-58_teesta/events.out.tfevents.1710939128.teesta.13602.0
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