Instructions to use currentlyexhausted/lite-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use currentlyexhausted/lite-llm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("currentlyexhausted/lite-llm") model = AutoModelForSeq2SeqLM.from_pretrained("currentlyexhausted/lite-llm") - Notebooks
- Google Colab
- Kaggle
Create README.md
#3 opened 12 months ago
by
Huggggggggtihai
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot