PEFT
Safetensors
English
Arabic
bloom
autograding
essay quetion
sentence similarity
4-bit precision
bitsandbytes
Instructions to use mohamedemam/Em2-bloomz-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mohamedemam/Em2-bloomz-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-7b1") model = PeftModel.from_pretrained(base_model, "mohamedemam/Em2-bloomz-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da51521eb1c9940fea1c6f93713ecf0f7e5cb5724e4288d674d6d670a422ec4d
- Size of remote file:
- 14.5 MB
- SHA256:
- c15972849c91c78dfab27e2ef0eb53b17f95c4fe81be6664f7e85c6a7fffde0e
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