Instructions to use sraj/Merge_Linear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sraj/Merge_Linear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sraj/Merge_Linear")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sraj/Merge_Linear") model = AutoModelForMaskedLM.from_pretrained("sraj/Merge_Linear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| models: | |
| - model: sraj/CMB_MARK_CX_LRD | |
| parameters: | |
| weight: 1.0 | |
| - model: sraj/CMB_FWEdu_V2_FastTxt_CX_LRD | |
| parameters: | |
| weight: 1.0 | |
| - model: sraj/CMB_WX_SYN_CX_LRD | |
| parameters: | |
| weight: 1.0 | |
| merge_method: linear | |
| parameters: | |
| normalize: true | |
| dtype: bfloat16 |