Automatic Speech Recognition
Transformers
Safetensors
English
mistral
text-generation
text-generation-inference
Instructions to use LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m") model = AutoModelForCausalLM.from_pretrained("LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4b5c7d70e1bcf633730faf3b76bbf2a5e43437e46db911843bf47b40820bb4d
- Size of remote file:
- 1.29 GB
- SHA256:
- e87bdd28174b8d45f457e00107de56ee5a7b75c5bfa17bf889cef880d944e8d8
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