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: 1,248 Bytes
9d5b280 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | import argparse
import pytest
import lm_eval.__main__
def test_cli_parse_error():
"""
Assert error raised if cli args argument doesn't have type
"""
with pytest.raises(ValueError):
parser = argparse.ArgumentParser(formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument(
"--model", "-m", type=str, default="hf", help="Name of model e.g. `hf`"
)
parser.add_argument(
"--tasks",
"-t",
default=None,
metavar="task1,task2",
help="To get full list of tasks, use the command lm-eval --tasks list",
)
lm_eval.__main__.check_argument_types(parser)
def test_cli_parse_no_error():
"""
Assert typed arguments are parsed correctly
"""
parser = argparse.ArgumentParser(formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument(
"--model", "-m", type=str, default="hf", help="Name of model e.g. `hf`"
)
parser.add_argument(
"--tasks",
"-t",
type=str,
default=None,
metavar="task1,task2",
help="To get full list of tasks, use the command lm-eval --tasks list",
)
lm_eval.__main__.check_argument_types(parser)
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