Instructions to use research-dump/roberta-base_hoax_classifier_data_60 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-dump/roberta-base_hoax_classifier_data_60 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="research-dump/roberta-base_hoax_classifier_data_60")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/roberta-base_hoax_classifier_data_60") model = AutoModelForSequenceClassification.from_pretrained("research-dump/roberta-base_hoax_classifier_data_60") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 620a9e3b630ca9720e3ba1fc7b83d794d186c08beda4ed3c4e2ec25f85411d8d
- Size of remote file:
- 499 MB
- SHA256:
- f8aad078093df0e4122b7fdb016f32b12b5c2c294fe518c491775666e7f8df9f
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