Instructions to use rushichavda/bloom_1b_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rushichavda/bloom_1b_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-1b7") model = PeftModel.from_pretrained(base_model, "rushichavda/bloom_1b_lora") - Notebooks
- Google Colab
- Kaggle
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Download README.md from rushichavda/bloom_1b_lora: direct link, hf CLI and curl.
- Browser
- Download file 93 Bytes
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https://huggingface.co/rushichavda/bloom_1b_lora/resolve/main/README.md
- Command line
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hf download hf://rushichavda/bloom_1b_lora/README.md
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curl -L -o README.md https://huggingface.co/rushichavda/bloom_1b_lora/resolve/main/README.md
93 Bytes
| library_name: peft | |
| ## Training procedure | |
| ### Framework versions | |
| - PEFT 0.5.0.dev0 | |