Instructions to use sahabajalam/Med_scribe_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sahabajalam/Med_scribe_V2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/medgemma-1.5-4b-it") model = PeftModel.from_pretrained(base_model, "sahabajalam/Med_scribe_V2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7204b64b88df524ca016b2339c825deee0e155bf7ed0849298764393aa1e6ba
- Size of remote file:
- 33.4 MB
- SHA256:
- bf1609194e85abbeb356094485d37d018739ec0ee6b79202044d43daf5ea982e
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