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:
- fb2cdd9a5a1094c2f530d1313bcc10c6ff7a67a104cebfeb8437d7b21cfb4f02
- Size of remote file:
- 178 MB
- SHA256:
- a00b2e86d3ad0d802c23bb9e58ac92fb50bc89e1e229bd93d2e95c6a3157611b
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