Instructions to use saital/bloom-7b1-codev1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use saital/bloom-7b1-codev1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-7b1") model = PeftModel.from_pretrained(base_model, "saital/bloom-7b1-codev1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67aec1714d8e8b75db46b65080170144b5fd35b4af1497e7b37fe234520bc552
- Size of remote file:
- 31.5 MB
- SHA256:
- 88cec35a2d6c53e210e748ca5564c90d06ec12e26aa1043eb885dd2807cb2e62
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