Instructions to use BBQGOD/DeepSeek-GRM-27B-MetaRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BBQGOD/DeepSeek-GRM-27B-MetaRM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BBQGOD/DeepSeek-GRM-27B-MetaRM")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BBQGOD/DeepSeek-GRM-27B-MetaRM") model = AutoModelForSequenceClassification.from_pretrained("BBQGOD/DeepSeek-GRM-27B-MetaRM") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 8deec53dacf767156a0b33e05637edca594e6414f5a2fee5f032df15ade59eba
- Size of remote file:
- 554 kB
- SHA256:
- 1409bddc83cd775cff22d589a92d26b797ca163199a5d4f8c1ffb9bcaded9fea
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