Instructions to use Nehc/FakeMobile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nehc/FakeMobile with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nehc/FakeMobile")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nehc/FakeMobile") model = AutoModelForSequenceClassification.from_pretrained("Nehc/FakeMobile", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9496ae02a1decd31f3b81a69b3c45e7ba1851df0ae9629379bf820b251a3469e
- Size of remote file:
- 670 MB
- SHA256:
- 1812fbc08868523091fddedee792d9dc85efa69e359efc22315c05c570622aa5
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