Instructions to use MRBSTUDIO/Humor-Reward-Model-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MRBSTUDIO/Humor-Reward-Model-1.7B with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3-1.7B") model = PeftModel.from_pretrained(base_model, "MRBSTUDIO/Humor-Reward-Model-1.7B") - Transformers
How to use MRBSTUDIO/Humor-Reward-Model-1.7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MRBSTUDIO/Humor-Reward-Model-1.7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dde3c5a4d468da6fe61f11ffa8f04af2d101f8f4a0fe118c37bd31bb8c3017b6
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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