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 training_args.bin from bradmin/reward-gpt-duplicate-answer-300: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/bradmin/reward-gpt-duplicate-answer-300/resolve/main/training_args.bin
- Command line
-
hf download hf://bradmin/reward-gpt-duplicate-answer-300/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bradmin/reward-gpt-duplicate-answer-300/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- a76c7c190e25460c2b7047ae422beb5dd2392b6b470290b02d4d31721b0315bf
- Size of remote file:
- 4.66 kB
- SHA256:
- 6333c6e4829ed34d59b1404907d1c278865eef8c19a9dda862f3199ecdfa6a1d
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