Instructions to use worldboss/falcon-7b-worldboss-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use worldboss/falcon-7b-worldboss-ft 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, "worldboss/falcon-7b-worldboss-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 329d880d85647aae3bf88510a32d0ea1cf089d9f320977a9d7d9f27113a1b30c
- Size of remote file:
- 1.04 GB
- SHA256:
- 71b98472c7a174766e790c7c8716d81b298dac0735ad3a90c502a33dbc4583bb
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