Instructions to use shawnw3i/Hy-MT2-1.8B-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shawnw3i/Hy-MT2-1.8B-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-MT2-1.8B-AWQ")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("shawnw3i/Hy-MT2-1.8B-AWQ") model = AutoModelForCausalLM.from_pretrained("shawnw3i/Hy-MT2-1.8B-AWQ") - Notebooks
- Google Colab
- Kaggle
| { | |
| "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" | |
| ] | |
| } |