# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("tomrb/bettercallbloom-3b")
model = AutoModelForCausalLM.from_pretrained("tomrb/bettercallbloom-3b")Quick Links
BetterCallBloom-3b
Finetuned Bloom-3b model on the r/legaladvice subreddit from pileoflaw
Model description
BLOOM-3B is a 3,002,557,440 parameters model pretrained by the BigScience initiative.
Intended uses & limitations
How to use
Limitations and bias
Training data
Training procedure
Preprocessing
Evaluation results
BibTeX entry and citation info
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="tomrb/bettercallbloom-3b")