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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a4c88fec98ee0d2e526fef8ab8fc2dadda6adb12f298cf871d469a216498131
- Size of remote file:
- 3.96 kB
- SHA256:
- fa86ac89fd60399e6c085937c2d569d00fe49860123bd758ee32ff9d8403dadf
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