Instructions to use TokenBender/hindi_llama_13B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TokenBender/hindi_llama_13B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "TokenBender/hindi_llama_13B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa49c3c244f039fd957eaff9b3ff54dd3026fcc0e028065610acd0ef227861f2
- Size of remote file:
- 210 MB
- SHA256:
- be3de9c3ff0add723835a4fd5a1855827dbabade2fe09ac4bf59ebd720ca6d00
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