Instructions to use mskov/falcon-7b-completion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mskov/falcon-7b-completion 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, "mskov/falcon-7b-completion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfd9b2c52ae38892ee72c32b080ee37be6b7722057bf4604f4069936fa6f7f1a
- Size of remote file:
- 16 MB
- SHA256:
- 0d82385c7c91ccf548be984016744cafe22c0bffbe4c56266892c862cde84fe4
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