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: 111 Bytes
2362f1c | 1 2 3 4 5 6 7 | {
"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": 2,
"transformers_version": "4.38.2"
}
|