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/prompt_toolkit/data_structures.py from realitisoft/ai-bot-test: direct link, hf CLI and curl.
- Browser
- Download file 212 Bytes
-
https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/prompt_toolkit/data_structures.py
- Command line
-
hf download hf://realitisoft/ai-bot-test/venv/lib/python3.11/site-packages/prompt_toolkit/data_structures.py
-
curl -L -o data_structures.py https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/prompt_toolkit/data_structures.py
212 Bytes
| from __future__ import annotations | |
| from typing import NamedTuple | |
| __all__ = [ | |
| "Point", | |
| "Size", | |
| ] | |
| class Point(NamedTuple): | |
| x: int | |
| y: int | |
| class Size(NamedTuple): | |
| rows: int | |
| columns: int | |