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:
- 86cdb626840fc92d9ec180d770e430cc205fcf97bd75a55c2720ad98dba6f474
- Size of remote file:
- 4.48 kB
- SHA256:
- ce37ecd6a54b4b245074b64851736d3a7c320d40f39047951305ec3f3e4306a4
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