Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Priyanshuchaudhary2425/ScamGuard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Priyanshuchaudhary2425/ScamGuard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Priyanshuchaudhary2425/ScamGuard")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Priyanshuchaudhary2425/ScamGuard") model = AutoModelForSequenceClassification.from_pretrained("Priyanshuchaudhary2425/ScamGuard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Priyanshuchaudhary2425/ScamGuard: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/Priyanshuchaudhary2425/ScamGuard/resolve/main/training_args.bin
- Command line
-
hf download hf://Priyanshuchaudhary2425/ScamGuard/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Priyanshuchaudhary2425/ScamGuard/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 459f3cb07bbeff595fa3c4a11b2b25f641f690646ba0f8baa2632faa6c571c5c
- Size of remote file:
- 5.78 kB
- SHA256:
- c110e6effcfeab4af0ca3725166f65ea04d705d0048b698bd3a14b50b2e0ef9f
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