Text Classification
Transformers
Safetensors
llama
Generated from Trainer
reward-trainer
trl
text-embeddings-inference
Instructions to use henry202/prism-performance-rm-downscaled-creativity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henry202/prism-performance-rm-downscaled-creativity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henry202/prism-performance-rm-downscaled-creativity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henry202/prism-performance-rm-downscaled-creativity") model = AutoModelForSequenceClassification.from_pretrained("henry202/prism-performance-rm-downscaled-creativity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!