Instructions to use konrad-wesub/roberta-base-iphone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use konrad-wesub/roberta-base-iphone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="konrad-wesub/roberta-base-iphone")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("konrad-wesub/roberta-base-iphone") model = AutoModelForSequenceClassification.from_pretrained("konrad-wesub/roberta-base-iphone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ee1e89f6db1588a812a416efd721d637e525d2a66c47f30c4f5bfbadab24d38
- Size of remote file:
- 17.1 MB
- SHA256:
- f2c509a525eb51aebb33fb59c24ee923c1d4c1db23c3ae81fe05ccf354084f7b
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