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
Download checkpoint-100/scheduler.pt from bradmin/reward-gpt-duplicate-answer-300: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/bradmin/reward-gpt-duplicate-answer-300/resolve/main/checkpoint-100/scheduler.pt
- Command line
-
hf download hf://bradmin/reward-gpt-duplicate-answer-300/checkpoint-100/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/bradmin/reward-gpt-duplicate-answer-300/resolve/main/checkpoint-100/scheduler.pt
1.06 kB
- Xet hash:
- e99a8ed0eaeee1efba9463cc547e39451a8ee30efc6171991e559eea648de935
- Size of remote file:
- 1.06 kB
- SHA256:
- bfd6835381800e995e6b778e724a1620c06266d740a713fdf3f370c902f4351b
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