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/_vendor/cachecontrol/cache.py from realitisoft/ai-bot-test: direct link, hf CLI and curl.
- Browser
- Download file 1.54 kB
-
https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/pip/_vendor/cachecontrol/cache.py
- Command line
-
hf download hf://realitisoft/ai-bot-test/venv/lib/python3.11/site-packages/pip/_vendor/cachecontrol/cache.py
-
curl -L -o cache.py https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/pip/_vendor/cachecontrol/cache.py
1.54 kB
| # SPDX-FileCopyrightText: 2015 Eric Larson | |
| # | |
| # SPDX-License-Identifier: Apache-2.0 | |
| """ | |
| The cache object API for implementing caches. The default is a thread | |
| safe in-memory dictionary. | |
| """ | |
| from threading import Lock | |
| class BaseCache(object): | |
| def get(self, key): | |
| raise NotImplementedError() | |
| def set(self, key, value, expires=None): | |
| raise NotImplementedError() | |
| def delete(self, key): | |
| raise NotImplementedError() | |
| def close(self): | |
| pass | |
| class DictCache(BaseCache): | |
| def __init__(self, init_dict=None): | |
| self.lock = Lock() | |
| self.data = init_dict or {} | |
| def get(self, key): | |
| return self.data.get(key, None) | |
| def set(self, key, value, expires=None): | |
| with self.lock: | |
| self.data.update({key: value}) | |
| def delete(self, key): | |
| with self.lock: | |
| if key in self.data: | |
| self.data.pop(key) | |
| class SeparateBodyBaseCache(BaseCache): | |
| """ | |
| In this variant, the body is not stored mixed in with the metadata, but is | |
| passed in (as a bytes-like object) in a separate call to ``set_body()``. | |
| That is, the expected interaction pattern is:: | |
| cache.set(key, serialized_metadata) | |
| cache.set_body(key) | |
| Similarly, the body should be loaded separately via ``get_body()``. | |
| """ | |
| def set_body(self, key, body): | |
| raise NotImplementedError() | |
| def get_body(self, key): | |
| """ | |
| Return the body as file-like object. | |
| """ | |
| raise NotImplementedError() | |