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/fsspec/tests/abstract/pipe.py from realitisoft/ai-bot-test: direct link, hf CLI and curl.
- Browser
- Download file 402 Bytes
-
https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/fsspec/tests/abstract/pipe.py
- Command line
-
hf download hf://realitisoft/ai-bot-test/venv/lib/python3.11/site-packages/fsspec/tests/abstract/pipe.py
-
curl -L -o pipe.py https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/fsspec/tests/abstract/pipe.py
402 Bytes
| import pytest | |
| class AbstractPipeTests: | |
| def test_pipe_exclusive(self, fs, fs_target): | |
| fs.pipe_file(fs_target, b"data") | |
| assert fs.cat_file(fs_target) == b"data" | |
| with pytest.raises(FileExistsError): | |
| fs.pipe_file(fs_target, b"data", mode="create") | |
| fs.pipe_file(fs_target, b"new data", mode="overwrite") | |
| assert fs.cat_file(fs_target) == b"new data" | |