# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="deepakkr/bloomed")# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("deepakkr/bloomed")
model = AutoModelForCausalLM.from_pretrained("deepakkr/bloomed")Quick Links
DESCRIPTION:
Built on Bloom-560M and finetuned on a medicines question-answer dataset, this experimental model explores potential for medical Q&A tasks.
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