Instructions to use Pavan27/tel_com_llma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pavan27/tel_com_llma with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "Pavan27/tel_com_llma") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dfb80a2ce4f6a3bf12b3f07f47916d13d3ee12d69d51e1e43a5992e33c75785
- Size of remote file:
- 134 MB
- SHA256:
- 7f7894a693edb962f8662ef8542dae47471062a9eab15c3085eb452a2075177c
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