Instructions to use Musa24/results_mbert_orig with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Musa24/results_mbert_orig with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Musa24/results_mbert_orig")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Musa24/results_mbert_orig") model = AutoModelForSequenceClassification.from_pretrained("Musa24/results_mbert_orig") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5901804321132d3d2651782ae80a594d263f81ba25ba578d814f070bc1dcc4a1
- Size of remote file:
- 5.78 kB
- SHA256:
- af4988789ab4db91b2a246dc42c2faa818d9d12e78796ad6f1dca99aa1662e06
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