Instructions to use yashkumar1112000/llamaconvbert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yashkumar1112000/llamaconvbert-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("decapoda-research/llama-7b-hf") model = PeftModel.from_pretrained(base_model, "yashkumar1112000/llamaconvbert-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15652dffada32d8eda57184f8ce10e0456d3ab83152ddbb772c2cfd880676873
- Size of remote file:
- 33.7 MB
- SHA256:
- ae0be717e2a87a3a0872e8c7a75dd0d48366bb9bc2219688952ab0b5e42203f3
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