Instructions to use Sanjith03/Cyber_Crime_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sanjith03/Cyber_Crime_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sanjith03/Cyber_Crime_Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sanjith03/Cyber_Crime_Classification") model = AutoModelForSequenceClassification.from_pretrained("Sanjith03/Cyber_Crime_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Sanjith03/Cyber_Crime_Classification: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Sanjith03/Cyber_Crime_Classification/resolve/main/model.safetensors
- Command line
-
hf download hf://Sanjith03/Cyber_Crime_Classification/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Sanjith03/Cyber_Crime_Classification/resolve/main/model.safetensors
268 MB
- Xet hash:
- 2d895d3ab7c40c17a66863cc3d324325eddd13d253bd3194bf93f0b500af53db
- Size of remote file:
- 268 MB
- SHA256:
- 845c1959777c76900136cf7d26b1c648fe8d1657a62288e076b4462b7bcd8b73
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