Instructions to use BayesTensor/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BayesTensor/out with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "BayesTensor/out") - Notebooks
- Google Colab
- Kaggle
File size: 483 Bytes
9d5b280 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | group:
- codexglue_code2text
task: code2text_ruby
dataset_path: CM/codexglue_code2text_ruby
training_split: train
validation_split: validation
test_split: test
output_type: generate_until
generation_kwargs:
num_beams: 10
max_gen_toks: 128
until:
- "</s>"
doc_to_text: !function utils.doc_to_text
doc_to_target: !function utils.doc_to_target
metric_list:
- metric: !function bleu.smoothed_bleu_4
aggregation: mean
higher_is_better: True
metadata:
version: 3.0
|