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:
- 2e4c4afa90b7d093dd4101a78c233ef29d1c3376346b17e798604120aec31813
- Size of remote file:
- 522 MB
- SHA256:
- 9d7b785c5898635bf81d340ce11d1b475c27cede41abc141b8809f3313f70893
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