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:
- 09dd541a7f604769fadb1017c005d6f8dc0a8e6b246c976602787af126f5ecdf
- Size of remote file:
- 522 MB
- SHA256:
- 385f8cc5762c80ae5877dbdd54768204bfa3e66806efd452b8c210af9345b124
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