Instructions to use darshil3011/falcon-custom-sharded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use darshil3011/falcon-custom-sharded 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, "darshil3011/falcon-custom-sharded") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87a285db7bbe3c9c87edbd98382e450267f2e55bd37b1931b510f7cad7296c95
- Size of remote file:
- 522 MB
- SHA256:
- 1f399371126c3b3404b50158e7e767833425db6607c6cb3ac7fc0d185b4f5342
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