Instructions to use Junfeng5/Liquid_V1_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Junfeng5/Liquid_V1_7B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Junfeng5/Liquid_V1_7B") model = AutoModelForCausalLM.from_pretrained("Junfeng5/Liquid_V1_7B") - Notebooks
- Google Colab
- Kaggle
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by nielsr HF Staff - opened
README.md
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license: mit
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datasets:
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- mlfoundations/dclm-baseline-1.0
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- cerebras/SlimPajama-627B
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license: mit
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library_name: transformers
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datasets:
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- mlfoundations/dclm-baseline-1.0
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- cerebras/SlimPajama-627B
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