Instructions to use realitisoft/ai-bot-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use realitisoft/ai-bot-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="realitisoft/ai-bot-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("realitisoft/ai-bot-test") model = AutoModelForSpeechSeq2Seq.from_pretrained("realitisoft/ai-bot-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 949 Bytes
c7e8396 | 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 | from distutils.dep_util import newer_group
# yes, this is was almost entirely copy-pasted from
# 'newer_pairwise()', this is just another convenience
# function.
def newer_pairwise_group(sources_groups, targets):
"""Walk both arguments in parallel, testing if each source group is newer
than its corresponding target. Returns a pair of lists (sources_groups,
targets) where sources is newer than target, according to the semantics
of 'newer_group()'.
"""
if len(sources_groups) != len(targets):
raise ValueError(
"'sources_group' and 'targets' must be the same length")
# build a pair of lists (sources_groups, targets) where source is newer
n_sources = []
n_targets = []
for i in range(len(sources_groups)):
if newer_group(sources_groups[i], targets[i]):
n_sources.append(sources_groups[i])
n_targets.append(targets[i])
return n_sources, n_targets
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