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/optimizer.pt from bradmin/reward-gpt-duplicate-answer-300: direct link, hf CLI and curl.
- Browser
- Download file 10.2 GB
-
https://huggingface.co/bradmin/reward-gpt-duplicate-answer-300/resolve/main/checkpoint-100/optimizer.pt
- Command line
-
hf download hf://bradmin/reward-gpt-duplicate-answer-300/checkpoint-100/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/bradmin/reward-gpt-duplicate-answer-300/resolve/main/checkpoint-100/optimizer.pt
10.2 GB
- Xet hash:
- 023b8b233e921af0ff26ecc1b0768e0f6a0f92f04e2bdc91ebffde42b8da3914
- Size of remote file:
- 10.2 GB
- SHA256:
- 505fdc2d9fafc08c59eb3d5a67e0f99854b45a3212d705a09f29ff5d4e9fed7c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.