Instructions to use NimaKL/spamd_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NimaKL/spamd_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NimaKL/spamd_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NimaKL/spamd_model") model = AutoModelForSequenceClassification.from_pretrained("NimaKL/spamd_model") - Notebooks
- Google Colab
- Kaggle
Delete tokenizer_config.json
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tokenizer_config.json
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{"do_lower_case": true, "max_len": 512, "init_inputs": []}
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