Instructions to use jadohu/llamagen2_drafter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jadohu/llamagen2_drafter with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jadohu/llamagen2_drafter") model = AutoModelForCausalLM.from_pretrained("jadohu/llamagen2_drafter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6688c7981ea873743f0453671d0502ecf9e6106418cfdab31905cb36e9e561b
- Size of remote file:
- 189 MB
- SHA256:
- 616b5b3c130f5eaff79004b1e7c3edd76ca4ba03844d7058e3e5e785dfdb62b4
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