Instructions to use nihal-tw/finetuned-f7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nihal-tw/finetuned-f7b 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, "nihal-tw/finetuned-f7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f99afdc5c38227956b39e09af4c8d2ca9aa4bf8d4ce6615782e1a598bddc2928
- Size of remote file:
- 522 MB
- SHA256:
- 853bdb83c9d498714d454a50131c2c5aeb3f9c6fd13d4f8a35bb3c08720e426c
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