Instructions to use dwjj/bloom-560m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dwjj/bloom-560m with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-560m") model = PeftModel.from_pretrained(base_model, "dwjj/bloom-560m") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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license: bigscience-bloom-rail-1.0
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library_name: peft
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---
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<h1 style='text-align: center '>BLOOM LM</h1>
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language:
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license: bigscience-bloom-rail-1.0
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library_name: peft
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pipeline_tag: text-generation
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base_model: bigscience/bloom-560m
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<h1 style='text-align: center '>BLOOM LM</h1>
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