Instructions to use leoclement/llama-2-7b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leoclement/llama-2-7b-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leoclement/llama-2-7b-4bit")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("leoclement/llama-2-7b-4bit") model = AutoModel.from_pretrained("leoclement/llama-2-7b-4bit", device_map="auto") - 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 sha256:602d7efb8de0a1a9cab764708817d893ceab36a333d16eba23b450ca797bde98
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size 3500718000
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