Instructions to use research-dump/roberta-base_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-base_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-base_hoax_classifier_def_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/roberta-base_hoax_classifier_def_v1") model = AutoModelForSequenceClassification.from_pretrained("research-dump/roberta-base_hoax_classifier_def_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 856a4b4934f08a1a61a24ecf4666394806c7b268d79878cb63ee82b25476de60
- Size of remote file:
- 499 MB
- SHA256:
- 1bf0d74b518ccdeddd2e78bbee64192b8998261dd17fa32ef2d7f2bd89a29cd4
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