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
Download tokenizer_config.json from sahabajalam/Med_scribe_V2: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/sahabajalam/Med_scribe_V2/resolve/main/tokenizer_config.json
- Command line
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hf download hf://sahabajalam/Med_scribe_V2/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/sahabajalam/Med_scribe_V2/resolve/main/tokenizer_config.json
1.16 MB
File too large to display, you can check the raw version instead.