Instructions to use Jeevesh8/multiberts_seed_14_ft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/multiberts_seed_14_ft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/multiberts_seed_14_ft_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/multiberts_seed_14_ft_4") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/multiberts_seed_14_ft_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 090985faed45efaef74732d30531672b19c285511cdf60725f1a0e3426b74d8f
- Size of remote file:
- 438 MB
- SHA256:
- 82538627337e7fad90183bade357aa6e07de8c7cf33cb4f014a2e9fe5e6c8adb
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