Instructions to use bradmin/reward-gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bradmin/reward-gpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bradmin/reward-gpt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bradmin/reward-gpt") model = AutoModelForSequenceClassification.from_pretrained("bradmin/reward-gpt") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| "<|endoftext|>", | |
| "<|sep|>", | |
| "<|acc|>", | |
| "<|tel|>", | |
| "<|rrn|>" | |
| ], | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<|endoftext|>" | |
| } | |