Instructions to use tencent/Hy-MT2-30B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Hy-MT2-30B-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="tencent/Hy-MT2-30B-A3B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tencent/Hy-MT2-30B-A3B") model = AutoModelForCausalLM.from_pretrained("tencent/Hy-MT2-30B-A3B") - Notebooks
- Google Colab
- Kaggle
Open Source My Ass! -- The "Open Source" Label is a Marketing Trap, Not a Promise of Freedom
#3 opened about 5 hours ago
by
JLouisBiz
Need GGUF Quantization
👍 1
1
#2 opened about 11 hours ago
by
tradenity
Request: oQ4 (MLX) quantization for Apple Silicon?
#1 opened about 12 hours ago
by
0xtimi2233