Instructions to use VERSIL91/451b2c8d-4afc-4be1-8057-ec8d6752d915 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/451b2c8d-4afc-4be1-8057-ec8d6752d915 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "VERSIL91/451b2c8d-4afc-4be1-8057-ec8d6752d915") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/451b2c8d-4afc-4be1-8057-ec8d6752d915: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/451b2c8d-4afc-4be1-8057-ec8d6752d915/resolve/77dcd2533f7f7b2f8c4779553a434b6f306f6c45/training_args.bin
- Command line
-
hf download hf://VERSIL91/451b2c8d-4afc-4be1-8057-ec8d6752d915@77dcd2533f7f7b2f8c4779553a434b6f306f6c45/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/451b2c8d-4afc-4be1-8057-ec8d6752d915/resolve/77dcd2533f7f7b2f8c4779553a434b6f306f6c45/training_args.bin
6.78 kB
- Xet hash:
- bf86c8b1eaa3354498b4b05b8b7223b77b9ace1e904473edb71e70422e3a6d28
- Size of remote file:
- 6.78 kB
- SHA256:
- 70e23c3599ab7acd725cd5c866add48ce52db66f95fc84fbeba49fff43ad229a
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