Instructions to use Dharmik/bloom_530M_final_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Dharmik/bloom_530M_final_ with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-560m") model = PeftModel.from_pretrained(base_model, "Dharmik/bloom_530M_final_") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8448e8079bd8bf90de768012703d145a9ca85caa9f0984f9c7b7562759e9a2ce
- Size of remote file:
- 411 kB
- SHA256:
- e7f065acc28cf4645abb9c1130a37e0fb4a8d92f9e8395f2b467492e723b64b2
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