Instructions to use shawnw3i/Hunyuan-MT-7B-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shawnw3i/Hunyuan-MT-7B-AWQ 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="shawnw3i/Hunyuan-MT-7B-AWQ")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("shawnw3i/Hunyuan-MT-7B-AWQ") model = AutoModelForCausalLM.from_pretrained("shawnw3i/Hunyuan-MT-7B-AWQ") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b305e7b8e5cdcfc56115d8461028c4e92b132b257c83d2428bcd3b146d2f9e8
- Size of remote file:
- 16.4 MB
- SHA256:
- 4185389a69284fdd3ebf737c6120bbeee36cbed9763151fa5bac5986a39e05d4
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