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:
- 79dbc5d6f1c0934de5a518f59ecf2e820c2b00841aaedabf357391d10c5d731d
- Size of remote file:
- 4.03 kB
- SHA256:
- 1e32f6466c16ba713013fd98facddbea62a306618253d2be1824692787d74ffb
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