Instructions to use sekkit/Hy-SimulMT-30B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sekkit/Hy-SimulMT-30B-A3B with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="sekkit/Hy-SimulMT-30B-A3B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("sekkit/Hy-SimulMT-30B-A3B") model = AutoModelForCausalLM.from_pretrained("sekkit/Hy-SimulMT-30B-A3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 289 Bytes
c712a25 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"chunk_length": 30,
"dither": 0.0,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"n_fft": 400,
"n_samples": 480000,
"nb_max_frames": 3000,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true
}
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