Instructions to use conzchung/bloom-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use conzchung/bloom-3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "conzchung/bloom-3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 302c6e37c95ab784bf8d322f0115b1fec5fd1c56fbc51c7c1d0632d10517a97f
- Size of remote file:
- 9.85 MB
- SHA256:
- 4d0c177fa12875c91f18735b5d3cb000badc0d61a178d623fbc4d30f1d43dc04
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