Instructions to use bradmin/reward-gpt-b6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bradmin/reward-gpt-b6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bradmin/reward-gpt-b6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bradmin/reward-gpt-b6") model = AutoModelForSequenceClassification.from_pretrained("bradmin/reward-gpt-b6") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- checkpoint-1000
- checkpoint-1500
- checkpoint-2000
- checkpoint-2500
- checkpoint-3000
- checkpoint-3500
- checkpoint-4000
- checkpoint-4500
- checkpoint-500
- checkpoint-5000
- checkpoint-5500
- checkpoint-6000
- checkpoint-6500
- checkpoint-7000
- 1.52 kB
- 2.24 kB
- 838 Bytes
- 5.08 GB xet
- 5.08 GB xet
- 185 Bytes
- 1.65 MB
- 1.57 kB
- 4.6 kB xet