Instructions to use AkCh12/newsif-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AkCh12/newsif-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AkCh12/newsif-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AkCh12/newsif-roberta") model = AutoModelForSequenceClassification.from_pretrained("AkCh12/newsif-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d67e6b40bd9ef1ed4fa2897de9721d15f464e08dce6b9b3fbcf3faaa7fe6908
- Size of remote file:
- 499 MB
- SHA256:
- 2967b281bb7f97d14c255cf48b8d7c7cda142fd409fa00dcd336cf9ef525a10c
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