Feature Extraction
Transformers
Safetensors
longformer
Merge
mergekit
lazymergekit
allenai/longformer-base-4096
gpt2
Instructions to use youssef227/merge-my-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use youssef227/merge-my-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="youssef227/merge-my-models")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("youssef227/merge-my-models") model = AutoModel.from_pretrained("youssef227/merge-my-models") - Notebooks
- Google Colab
- Kaggle
File size: 764 Bytes
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license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- allenai/longformer-base-4096
- gpt2
---
# merge-my-models
merge-my-models is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096)
* [gpt2](https://huggingface.co/gpt2)
## 🧩 Configuration
```yaml{'slices': [{'sources': [{'model': 'allenai/longformer-base-4096', 'layer_range': [0, 12]}, {'model': 'gpt2', 'layer_range': [0, 12]}]}], 'merge_method': 'slerp', 'base_model': 'allenai/longformer-base-4096', 'parameters': {'t': [{'filter': 'self_attn', 'value': [0, 0.5, 0.3, 0.7, 1]}, {'filter': 'mlp', 'value': [1, 0.5, 0.7, 0.3, 0]}, {'value': 0.5}]}, 'dtype': 'bfloat16'}``` |