Instructions to use tuhink/hacking-rewards-harmless-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuhink/hacking-rewards-harmless-train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tuhink/hacking-rewards-harmless-train")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tuhink/hacking-rewards-harmless-train") model = AutoModelForSequenceClassification.from_pretrained("tuhink/hacking-rewards-harmless-train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tuhink/hacking-rewards-harmless-train: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/tuhink/hacking-rewards-harmless-train/resolve/main/tokenizer.json
- Command line
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hf download hf://tuhink/hacking-rewards-harmless-train/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/tuhink/hacking-rewards-harmless-train/resolve/main/tokenizer.json
3.56 MB
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