An unmodified duplicate of
openai/whisper-base.en
, tagged for use with
ANEForge
so the weights load and run directly on the
Apple Neural Engine (no CoreML). Weights are byte-identical to the source; see the original repo for
the model details. Licensed
apache-2.0
from the source.
Use with ANEForge
import aneforge as af
asr = af.load_whisper("aneforge/whisper-base.en")
print(asr.transcribe(audio)) # 16 kHz mono waveform -> transcript
ANEForge compiles the model's graph into a single ANE program and streams the weights from this repo
via
huggingface_hub
. See the
docs
and the
paper
.
Runs of aneforge whisper-base.en on huggingface.co
428
Total runs
0
24-hour runs
8
3-day runs
19
7-day runs
417
30-day runs
More Information About whisper-base.en huggingface.co Model
whisper-base.en huggingface.co is an AI model on huggingface.co that provides whisper-base.en's model effect (), which can be used instantly with this aneforge whisper-base.en model. huggingface.co supports a free trial of the whisper-base.en model, and also provides paid use of the whisper-base.en. Support call whisper-base.en model through api, including Node.js, Python, http.
whisper-base.en huggingface.co is an online trial and call api platform, which integrates whisper-base.en's modeling effects, including api services, and provides a free online trial of whisper-base.en, you can try whisper-base.en online for free by clicking the link below.
aneforge whisper-base.en online free url in huggingface.co:
whisper-base.en is an open source model from GitHub that offers a free installation service, and any user can find whisper-base.en on GitHub to install. At the same time, huggingface.co provides the effect of whisper-base.en install, users can directly use whisper-base.en installed effect in huggingface.co for debugging and trial. It also supports api for free installation.