Instructions to use jadohu/llamagen_drafter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jadohu/llamagen_drafter with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jadohu/llamagen_drafter") model = AutoModelForCausalLM.from_pretrained("jadohu/llamagen_drafter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9222639280a5a8e0dac0de27b7aea1873926f93c8bee090c486504da8a091442
- Size of remote file:
- 83.9 MB
- SHA256:
- 367e44bc0d71340b52dbca28f3818086ee3598d20304bde6c445b2a13d358438
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