Instructions to use julycodes/Bloom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use julycodes/Bloom with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-560m") model = PeftModel.from_pretrained(base_model, "julycodes/Bloom") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from julycodes/Bloom: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/julycodes/Bloom/resolve/main/training_args.bin
- Command line
-
hf download hf://julycodes/Bloom/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/julycodes/Bloom/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 43f5be9a35002be59094a8ef04857a60a89caae3f5c6dd2cb38a6e5cbbe245bf
- Size of remote file:
- 4.86 kB
- SHA256:
- bdfbe10baba06c0c61b5d5eb7461af015ab99fc32ab4969740a6fc6947c9daea
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