Instructions to use mmdrez4/Falcon-7B-Medical-Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mmdrez4/Falcon-7B-Medical-Summarization with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "mmdrez4/Falcon-7B-Medical-Summarization") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mmdrez4/Falcon-7B-Medical-Summarization: direct link, hf CLI and curl.
- Browser
- Download file 2.73 MB
-
https://huggingface.co/mmdrez4/Falcon-7B-Medical-Summarization/resolve/main/tokenizer.json
- Command line
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hf download hf://mmdrez4/Falcon-7B-Medical-Summarization/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/mmdrez4/Falcon-7B-Medical-Summarization/resolve/main/tokenizer.json
2.73 MB
File too large to display, you can check the raw version instead.