Instructions to use research-dump/roberta-large_hoax_classifier_def_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-dump/roberta-large_hoax_classifier_def_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="research-dump/roberta-large_hoax_classifier_def_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/roberta-large_hoax_classifier_def_v1") model = AutoModelForSequenceClassification.from_pretrained("research-dump/roberta-large_hoax_classifier_def_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 107f02f10f9a2ce67b63c760f5ee0b91723acf80ae31f1937f030e242b649af5
- Size of remote file:
- 1.42 GB
- SHA256:
- 20d3f7d0b24cef330d0edd16e1084147541b564236d904438ebf7f108d020624
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