Feature Extraction
Transformers
Safetensors
qwen2
bnb-my-repo
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use bnb-community/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bnb-community/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bnb-community/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("bnb-community/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit") model = AutoModelForMultimodalLM.from_pretrained("bnb-community/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit") - Notebooks
- Google Colab
- Kaggle
File size: 485 Bytes
ea8936d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"bos_token": {
"content": "<|begin▁of▁sentence|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": {
"content": "<|end▁of▁sentence|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": {
"content": "<|end▁of▁sentence|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}
|