Instructions to use th135/meditron-7b_both_n1600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use th135/meditron-7b_both_n1600 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("epfl-llm/meditron-7b") model = PeftModel.from_pretrained(base_model, "th135/meditron-7b_both_n1600") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c6939baf921a9fb4d54f8bf72e1e63023ff81c350ffeb709fc36be1599eb06a
- Size of remote file:
- 16.8 MB
- SHA256:
- ed73b3562e6eb8cd418c8a14618e64a92f1f2045c8b921bef933293f9d727ce6
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