Feature Extraction
Transformers
Safetensors
qwen2
bnb-my-repo
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use liuda1/DeepSeek-R1-Distill-Qwen-32B-bnb-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liuda1/DeepSeek-R1-Distill-Qwen-32B-bnb-8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="liuda1/DeepSeek-R1-Distill-Qwen-32B-bnb-8bit")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("liuda1/DeepSeek-R1-Distill-Qwen-32B-bnb-8bit") model = AutoModel.from_pretrained("liuda1/DeepSeek-R1-Distill-Qwen-32B-bnb-8bit") - Notebooks
- Google Colab
- Kaggle
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