Instructions to use akhauriyash/DeepSeek-R1-Distill-Llama-8B-Butler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akhauriyash/DeepSeek-R1-Distill-Llama-8B-Butler with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="akhauriyash/DeepSeek-R1-Distill-Llama-8B-Butler", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("akhauriyash/DeepSeek-R1-Distill-Llama-8B-Butler", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from akhauriyash/DeepSeek-R1-Distill-Llama-8B-Butler: direct link, hf CLI and curl.
- Browser
- Download file 9.08 MB
-
https://huggingface.co/akhauriyash/DeepSeek-R1-Distill-Llama-8B-Butler/resolve/main/tokenizer.json
- Command line
-
hf download hf://akhauriyash/DeepSeek-R1-Distill-Llama-8B-Butler/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/akhauriyash/DeepSeek-R1-Distill-Llama-8B-Butler/resolve/main/tokenizer.json
9.08 MB
File too large to display, you can check the raw version instead.