Instructions to use shawnw3i/Hy-MT2-7B-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shawnw3i/Hy-MT2-7B-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/Hy-MT2-7B-AWQ")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("shawnw3i/Hy-MT2-7B-AWQ") model = AutoModelForCausalLM.from_pretrained("shawnw3i/Hy-MT2-7B-AWQ") - Notebooks
- Google Colab
- Kaggle
File size: 276 Bytes
fe35b76 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"bits": 4,
"group_size": 128,
"sym": false,
"data_type": "int",
"scale_dtype": "None",
"autoround_version": "0.9.2",
"provider": "auto-round",
"quant_method": "awq",
"zero_point": true,
"version": "gemm",
"modules_to_not_convert": [
"lm_head"
]
} |