Automatic Speech Recognition
Transformers
Safetensors
Akan
Twi
whisper
ASR
Akan
low-resource-language
speech-recognition
Instructions to use GiftMark/akan-whisper-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GiftMark/akan-whisper-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GiftMark/akan-whisper-model", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GiftMark/akan-whisper-model") model = AutoModelForSpeechSeq2Seq.from_pretrained("GiftMark/akan-whisper-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Potential Exposure of Hugging Face Token
#1
by June-Snow - opened
Hello,
We are a group of security researchers conducting an analysis of publicly available resources to assess common misconfiguration risks.
During our research, we came across a Hugging Face access token exposed in a public configuration: hf_TvDL******pCJH. This token appears to be linked to your account and could potentially allow unauthorized access to Hugging Face services. If left unrevoked, it may be vulnerable to misuse.
We strongly recommend that you revoke this token immediately and generate a new one. Additionally, please review your configurations to ensure that no other sensitive credentials are publicly accessible.
Best regards,