Instructions to use AlexSimon06/Hybridmodel5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexSimon06/Hybridmodel5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlexSimon06/Hybridmodel5", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AlexSimon06/Hybridmodel5", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("AlexSimon06/Hybridmodel5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d069d87eab0d2ba9296e6e52fc9c4cac76d8faf287b2651a5e223c91c866728a
- Size of remote file:
- 17.2 MB
- SHA256:
- 98d4a1d32152d6cedf85b5e88f3b205106dca1fe72aaab34e0ac13c238421069
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