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
Download generation_config.json from mohamedemam/Em2-bloomz-7b: direct link, hf CLI and curl.
- Browser
- Download file 132 Bytes
-
https://huggingface.co/mohamedemam/Em2-bloomz-7b/resolve/main/generation_config.json
- Command line
-
hf download hf://mohamedemam/Em2-bloomz-7b/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/mohamedemam/Em2-bloomz-7b/resolve/main/generation_config.json
132 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "pad_token_id": 3, | |
| "transformers_version": "4.42.3" | |
| } | |