BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Paper • 2211.05100 • Published • 37
How to use tayyibsupercool/bloom-560m-lora with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tayyibsupercool/bloom-560m-lora", dtype="auto")This model card describes a transformers model based on the Bloom 560m architecture, fine-tuned with LORA (Linear Regression for Out-of-Distribution Adaptation). This model is intended for advanced users familiar with large language models and LORA.
This is a Bloom 560m model fine-tuned with LORA. Bloom 560m is a factual language model from Adept AI, trained on a massive dataset of text and code. LORA is a technique for adapting a pre-trained model to new data without retraining the entire model.