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
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5342575dc1cc83b7f7f8f03277f6fefb32705f0c5adcd3888eefd76328a11dfd
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size 307867048
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