Instructions to use Almashtouly/results_roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Almashtouly/results_roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Almashtouly/results_roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Almashtouly/results_roberta-base") model = AutoModelForSequenceClassification.from_pretrained("Almashtouly/results_roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ebb2cdfaec37f99504703eeb71032c56c526ffd6bc0f4b37abb3ca03d8ad660
- Size of remote file:
- 5.27 kB
- SHA256:
- 9cdf0f3dff979b2c46d46356bfd076a309db05f70cd38dc1acc5377e4cac351b
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