Instructions to use bradmin/reward-gpt-duplicate-answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bradmin/reward-gpt-duplicate-answer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bradmin/reward-gpt-duplicate-answer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bradmin/reward-gpt-duplicate-answer") model = AutoModelForSequenceClassification.from_pretrained("bradmin/reward-gpt-duplicate-answer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from bradmin/reward-gpt-duplicate-answer: direct link, hf CLI and curl.
- Browser
- Download file 185 Bytes
-
https://huggingface.co/bradmin/reward-gpt-duplicate-answer/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://bradmin/reward-gpt-duplicate-answer/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/bradmin/reward-gpt-duplicate-answer/resolve/main/special_tokens_map.json
185 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<|endoftext|>", | |
| "<|sep|>", | |
| "<|acc|>", | |
| "<|tel|>", | |
| "<|rrn|>" | |
| ], | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<|endoftext|>" | |
| } | |