Instructions to use helliun/multapro-beta-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/multapro-beta-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="helliun/multapro-beta-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("helliun/multapro-beta-1") model = AutoModelForSequenceClassification.from_pretrained("helliun/multapro-beta-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24f2c44b4cb6e1a1302aefd7959ea71850fcf295904093bf146aa77797ccde84
- Size of remote file:
- 438 MB
- SHA256:
- 05647ba8312266f7e0253064d26b6203d591ae419debd39b491f6a472a3e11c1
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