Instructions to use bogdanminko/multi-task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bogdanminko/multi-task with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bogdanminko/multi-task")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bogdanminko/multi-task") model = AutoModelForSequenceClassification.from_pretrained("bogdanminko/multi-task", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48de86d54c22d434d020a74294b10283f1c836ee532be7a207f586187753a65c
- Size of remote file:
- 711 MB
- SHA256:
- 23e2d488ba5376991e9724ad4abf0a4ddff17de628a9673edfb3fe1ac8807197
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