Instructions to use willyninja30/llama-2-7b-chat-hf-fr-en-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use willyninja30/llama-2-7b-chat-hf-fr-en-python with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "willyninja30/llama-2-7b-chat-hf-fr-en-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54c094d4bc72fbe83e305cc02d76a5f7813bd6c8a45c0387c494333c1a8fc9d1
- Size of remote file:
- 33.6 MB
- SHA256:
- f8834116ed00e15a3e00708164acb758134f029ec4f3f7dc548152ad67dabc5d
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