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
Download venv/lib/python3.11/site-packages/setuptools/dep_util.py from realitisoft/ai-bot-test: direct link, hf CLI and curl.
- Browser
- Download file 949 Bytes
-
https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/setuptools/dep_util.py
- Command line
-
hf download hf://realitisoft/ai-bot-test/venv/lib/python3.11/site-packages/setuptools/dep_util.py
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curl -L -o dep_util.py https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/setuptools/dep_util.py
949 Bytes
| 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 | |