Instructions to use baebee/test-jfalconrw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baebee/test-jfalconrw with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-rw-1b") model = PeftModel.from_pretrained(base_model, "baebee/test-jfalconrw") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05891164129a9961e5c70858d2ad66f42804ed5738d0c93f0a020c70cf95672b
- Size of remote file:
- 50.3 MB
- SHA256:
- 510e97ef6ba73347a51d09dc0b06bd5567a0d4fe668aabe31393055727ff8c3b
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