Instructions to use Karroyan/MBTI-Reward-Model-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Karroyan/MBTI-Reward-Model-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Karroyan/MBTI-Reward-Model-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Karroyan/MBTI-Reward-Model-v2") model = AutoModelForSequenceClassification.from_pretrained("Karroyan/MBTI-Reward-Model-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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add pytorch models
karroyan@sjtu.edu.cn7d0b76b -
add models
karroyan@sjtu.edu.cn1dae87b -
add tokenizers
karroyan@sjtu.edu.cn337b444 -
initial commit
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