Instructions to use tupleblog/salim-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tupleblog/salim-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tupleblog/salim-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tupleblog/salim-classifier") model = AutoModelForSequenceClassification.from_pretrained("tupleblog/salim-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e84a3dee2ace0745deeaaa767d35e476aa1e17b120f8f4bd8e57a144d19a0a60
- Size of remote file:
- 421 MB
- SHA256:
- 3c6af280d936da6b1af2dbc2ddba3192ab74627f287619abb2b2a3d61e174748
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