Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use thanhcong2001/Criminal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thanhcong2001/Criminal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thanhcong2001/Criminal")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thanhcong2001/Criminal") model = AutoModelForSequenceClassification.from_pretrained("thanhcong2001/Criminal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thanhcong2001/Criminal: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/thanhcong2001/Criminal/resolve/main/training_args.bin
- Command line
-
hf download hf://thanhcong2001/Criminal/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thanhcong2001/Criminal/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 3a525203a7d4f8025c2f3c0f2f3435725afbba2a634f6b7fb8ae6a480d5c8154
- Size of remote file:
- 5.71 kB
- SHA256:
- bc81c8b1b81e98f5879d197ec22e75274885d3e9fd82e22fe248e3d5137f6ce5
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