Instructions to use bradmin/reward-gpt-duplicate-answer-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bradmin/reward-gpt-duplicate-answer-300 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bradmin/reward-gpt-duplicate-answer-300")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bradmin/reward-gpt-duplicate-answer-300") model = AutoModelForSequenceClassification.from_pretrained("bradmin/reward-gpt-duplicate-answer-300", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
96c3676 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6333c6e4829ed34d59b1404907d1c278865eef8c19a9dda862f3199ecdfa6a1d
size 4664
|