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/wrapper.py from realitisoft/ai-bot-test: direct link, hf CLI and curl.
- Browser
- Download file 774 Bytes
-
https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/pip/_vendor/cachecontrol/wrapper.py
- Command line
-
hf download hf://realitisoft/ai-bot-test/venv/lib/python3.11/site-packages/pip/_vendor/cachecontrol/wrapper.py
-
curl -L -o wrapper.py https://huggingface.co/realitisoft/ai-bot-test/resolve/main/venv/lib/python3.11/site-packages/pip/_vendor/cachecontrol/wrapper.py
774 Bytes
| # SPDX-FileCopyrightText: 2015 Eric Larson | |
| # | |
| # SPDX-License-Identifier: Apache-2.0 | |
| from .adapter import CacheControlAdapter | |
| from .cache import DictCache | |
| def CacheControl( | |
| sess, | |
| cache=None, | |
| cache_etags=True, | |
| serializer=None, | |
| heuristic=None, | |
| controller_class=None, | |
| adapter_class=None, | |
| cacheable_methods=None, | |
| ): | |
| cache = DictCache() if cache is None else cache | |
| adapter_class = adapter_class or CacheControlAdapter | |
| adapter = adapter_class( | |
| cache, | |
| cache_etags=cache_etags, | |
| serializer=serializer, | |
| heuristic=heuristic, | |
| controller_class=controller_class, | |
| cacheable_methods=cacheable_methods, | |
| ) | |
| sess.mount("http://", adapter) | |
| sess.mount("https://", adapter) | |
| return sess | |