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)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("akhauriyash/DeepSeek-R1-Distill-Llama-8B-Butler", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and link to project page
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding the relevant
pipeline_tag, ensuring people can find your model at https://huggingface.co/models?pipeline_tag=text-generation - Adding a link to the project page at https://abdelfattah-lab.github.io/TokenButler/
akhauriyash changed pull request status to merged