Instructions to use jayanta/roberta-harmeme-P with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayanta/roberta-harmeme-P with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jayanta/roberta-harmeme-P")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jayanta/roberta-harmeme-P") model = AutoModelForSequenceClassification.from_pretrained("jayanta/roberta-harmeme-P") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ae008e8dc19ceed2f2766829d2ae43a3129b30a18014e8631c885dfd1329929
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size 498620100
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