Instructions to use g4educ/llama-calls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use g4educ/llama-calls with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "g4educ/llama-calls") - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Add base_model information to model (#2)
- Librarian Bot: Add base_model information to model (414bb0666608c59cd93d4d31a13925c54dc6689e) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>1ed66af -
Create config.json (#3)
- Create config.json (fed99ca4edcb4a60041bcad5258812a4f2ef8c5e) Co-authored-by: Bernardo Couto <bernardocouto-g4@users.noreply.huggingface.co>741e803
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Update README.md (#1)
- Update README.md (c3d2a0647c7220222e37d0cb424127b9eefeb474) Co-authored-by: Joao Gabriel Cavalcanti Alves <joao-alves-g4@users.noreply.huggingface.co>9d2cdc6
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