Instructions to use sofom/bert-base-uncased-multisocial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/bert-base-uncased-multisocial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sofom/bert-base-uncased-multisocial")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sofom/bert-base-uncased-multisocial") model = AutoModelForSequenceClassification.from_pretrained("sofom/bert-base-uncased-multisocial") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f548bfdf18d6786fb62353559524c2f38a799b55cc6caf9255eb89eb812d9827
- Size of remote file:
- 219 MB
- SHA256:
- 5f2401884605c0c67ed38d0fd840d999bf1b474e31fc63cc04ff1081869defa7
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