Instructions to use SpringYung/falcon_with_cfa_text_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SpringYung/falcon_with_cfa_text_v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenAssistant/falcon-7b-sft-mix-2000") model = PeftModel.from_pretrained(base_model, "SpringYung/falcon_with_cfa_text_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bf0a198326e0f178a9cf5148821633c9fc98b96afa87df421475e4503bc6ef5
- Size of remote file:
- 522 MB
- SHA256:
- 31f4cb565ac1380c9003878ea2cf7d93e78f288fe7ab771346cb09ae94fc95af
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