Instructions to use dfurman/Falcon-40B-Chat-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dfurman/Falcon-40B-Chat-v0.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-40b") model = PeftModel.from_pretrained(base_model, "dfurman/Falcon-40B-Chat-v0.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57ae539a5d7495e0afd29de81f1dd2b0a9de5cbae83249c2717be6005f94cc6a
- Size of remote file:
- 33.5 MB
- SHA256:
- 8c463f6dc0d188de013e925df4bf8aad46cfd25a7d0d70c0d0aaaca64859c433
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