Instructions to use gang21/llama2-icd10-common with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gang21/llama2-icd10-common with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "gang21/llama2-icd10-common") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 514d02cacf4e7ad20f0ae8bb1e29b3ec505b301fa236f9409b09596fd66ad23b
- Size of remote file:
- 33.6 MB
- SHA256:
- 35eaaa751237bb292106c6d676c565e1c033acbb091c4c554b12d621bf2b8f04
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