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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m") model = AutoModelForCausalLM.from_pretrained("LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
2362f1c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cc460a0129515b7579ec9f63218012601729de4fbd1b5de8d56dc47e8a204a29
size 493449
|