Text Generation
PEFT
Safetensors
Spanish
English
bittensor
subnet-20
LoRA
fine-tune
phi-2
antonio-bfcl
rogue-tensor
artificial-intelligence
open-source
Instructions to use Tonit23/antonio-phi2-bitagent-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tonit23/antonio-phi2-bitagent-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "Tonit23/antonio-phi2-bitagent-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57ab32e44bb443884ec96fd10ef4049b3994ea5c6bd1e2a1c81fb3e00abae0e5
- Size of remote file:
- 5.26 MB
- SHA256:
- 9dfbae2fb066dd5294fb8c4a496ce730117af607abfbb727ddb295f8a5a6f289
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