Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
English
speech_to_text
speech
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use Classroom-workshop/assignment1-jack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Classroom-workshop/assignment1-jack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Classroom-workshop/assignment1-jack")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Classroom-workshop/assignment1-jack") model = AutoModelForMultimodalLM.from_pretrained("Classroom-workshop/assignment1-jack") - Notebooks
- Google Colab
- Kaggle
File size: 1,135 Bytes
5e7ca91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | {
"_name_or_path": "hf_models_fb/s2t-small-librispeech-asr",
"activation_dropout": 0.1,
"activation_function": "relu",
"architectures": [
"Speech2TextForConditionalGeneration"
],
"attention_dropout": 0.1,
"bos_token_id": 0,
"classifier_dropout": 0.0,
"conv_channels": 1024,
"conv_kernel_sizes": [
5,
5
],
"d_model": 256,
"decoder_attention_heads": 4,
"decoder_ffn_dim": 2048,
"decoder_layerdrop": 0.0,
"decoder_layers": 6,
"decoder_start_token_id": 2,
"dropout": 0.1,
"early_stopping": true,
"encoder_attention_heads": 4,
"encoder_ffn_dim": 2048,
"encoder_layerdrop": 0.0,
"encoder_layers": 12,
"eos_token_id": 2,
"gradient_checkpointing": false,
"init_std": 0.02,
"input_channels": 1,
"input_feat_per_channel": 80,
"is_encoder_decoder": true,
"max_length": 200,
"max_source_positions": 6000,
"max_target_positions": 1024,
"model_type": "speech_to_text",
"num_beams": 5,
"num_conv_layers": 2,
"num_hidden_layers": 12,
"pad_token_id": 1,
"scale_embedding": true,
"transformers_version": "4.4.0.dev0",
"use_cache": true,
"vocab_size": 10000
}
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