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/pip/_internal/network/cache.py from realitisoft/ai-bot-test: direct link, hf CLI and curl.
- Browser
- Download file 2.15 kB
-
https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/pip/_internal/network/cache.py
- Command line
-
hf download hf://realitisoft/ai-bot-test/venv/lib/python3.11/site-packages/pip/_internal/network/cache.py
-
curl -L -o cache.py https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/pip/_internal/network/cache.py
2.15 kB
| """HTTP cache implementation. | |
| """ | |
| import os | |
| from contextlib import contextmanager | |
| from typing import Generator, Optional | |
| from pip._vendor.cachecontrol.cache import BaseCache | |
| from pip._vendor.cachecontrol.caches import FileCache | |
| from pip._vendor.requests.models import Response | |
| from pip._internal.utils.filesystem import adjacent_tmp_file, replace | |
| from pip._internal.utils.misc import ensure_dir | |
| def is_from_cache(response: Response) -> bool: | |
| return getattr(response, "from_cache", False) | |
| def suppressed_cache_errors() -> Generator[None, None, None]: | |
| """If we can't access the cache then we can just skip caching and process | |
| requests as if caching wasn't enabled. | |
| """ | |
| try: | |
| yield | |
| except OSError: | |
| pass | |
| class SafeFileCache(BaseCache): | |
| """ | |
| A file based cache which is safe to use even when the target directory may | |
| not be accessible or writable. | |
| """ | |
| def __init__(self, directory: str) -> None: | |
| assert directory is not None, "Cache directory must not be None." | |
| super().__init__() | |
| self.directory = directory | |
| def _get_cache_path(self, name: str) -> str: | |
| # From cachecontrol.caches.file_cache.FileCache._fn, brought into our | |
| # class for backwards-compatibility and to avoid using a non-public | |
| # method. | |
| hashed = FileCache.encode(name) | |
| parts = list(hashed[:5]) + [hashed] | |
| return os.path.join(self.directory, *parts) | |
| def get(self, key: str) -> Optional[bytes]: | |
| path = self._get_cache_path(key) | |
| with suppressed_cache_errors(): | |
| with open(path, "rb") as f: | |
| return f.read() | |
| def set(self, key: str, value: bytes, expires: Optional[int] = None) -> None: | |
| path = self._get_cache_path(key) | |
| with suppressed_cache_errors(): | |
| ensure_dir(os.path.dirname(path)) | |
| with adjacent_tmp_file(path) as f: | |
| f.write(value) | |
| replace(f.name, path) | |
| def delete(self, key: str) -> None: | |
| path = self._get_cache_path(key) | |
| with suppressed_cache_errors(): | |
| os.remove(path) | |