Instructions to use mllm-dev/gpt2_m_experiment_linear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/gpt2_m_experiment_linear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/gpt2_m_experiment_linear")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/gpt2_m_experiment_linear") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/gpt2_m_experiment_linear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| base_model: | |
| - mllm-dev/gpt2_f_experiment_5 | |
| - mllm-dev/gpt2_f_experiment_2 | |
| - mllm-dev/gpt2_f_experiment_9 | |
| - mllm-dev/gpt2_f_experiment_6 | |
| - mllm-dev/gpt2_f_experiment_8 | |
| - mllm-dev/gpt2_f_experiment_0 | |
| - mllm-dev/gpt2_f_experiment_3 | |
| - mllm-dev/gpt2_f_experiment_1 | |
| - mllm-dev/gpt2_f_experiment_7 | |
| - mllm-dev/gpt2_f_experiment_4 | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # sean_test_merge_out | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [mllm-dev/gpt2_f_experiment_5](https://huggingface.co/mllm-dev/gpt2_f_experiment_5) | |
| * [mllm-dev/gpt2_f_experiment_2](https://huggingface.co/mllm-dev/gpt2_f_experiment_2) | |
| * [mllm-dev/gpt2_f_experiment_9](https://huggingface.co/mllm-dev/gpt2_f_experiment_9) | |
| * [mllm-dev/gpt2_f_experiment_6](https://huggingface.co/mllm-dev/gpt2_f_experiment_6) | |
| * [mllm-dev/gpt2_f_experiment_8](https://huggingface.co/mllm-dev/gpt2_f_experiment_8) | |
| * [mllm-dev/gpt2_f_experiment_0](https://huggingface.co/mllm-dev/gpt2_f_experiment_0) | |
| * [mllm-dev/gpt2_f_experiment_3](https://huggingface.co/mllm-dev/gpt2_f_experiment_3) | |
| * [mllm-dev/gpt2_f_experiment_1](https://huggingface.co/mllm-dev/gpt2_f_experiment_1) | |
| * [mllm-dev/gpt2_f_experiment_7](https://huggingface.co/mllm-dev/gpt2_f_experiment_7) | |
| * [mllm-dev/gpt2_f_experiment_4](https://huggingface.co/mllm-dev/gpt2_f_experiment_4) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| dtype: float16 | |
| merge_method: linear | |
| slices: | |
| - sources: | |
| - layer_range: [0, 12] | |
| model: | |
| model: | |
| path: mllm-dev/gpt2_f_experiment_0 | |
| parameters: | |
| weight: 1.0 | |
| - layer_range: [0, 12] | |
| model: | |
| model: | |
| path: mllm-dev/gpt2_f_experiment_1 | |
| parameters: | |
| weight: 1.0 | |
| - layer_range: [0, 12] | |
| model: | |
| model: | |
| path: mllm-dev/gpt2_f_experiment_2 | |
| parameters: | |
| weight: 1.0 | |
| - layer_range: [0, 12] | |
| model: | |
| model: | |
| path: mllm-dev/gpt2_f_experiment_3 | |
| parameters: | |
| weight: 1.0 | |
| - layer_range: [0, 12] | |
| model: | |
| model: | |
| path: mllm-dev/gpt2_f_experiment_4 | |
| parameters: | |
| weight: 1.0 | |
| - layer_range: [0, 12] | |
| model: | |
| model: | |
| path: mllm-dev/gpt2_f_experiment_5 | |
| parameters: | |
| weight: 1.0 | |
| - layer_range: [0, 12] | |
| model: | |
| model: | |
| path: mllm-dev/gpt2_f_experiment_6 | |
| parameters: | |
| weight: 1.0 | |
| - layer_range: [0, 12] | |
| model: | |
| model: | |
| path: mllm-dev/gpt2_f_experiment_7 | |
| parameters: | |
| weight: 1.0 | |
| - layer_range: [0, 12] | |
| model: | |
| model: | |
| path: mllm-dev/gpt2_f_experiment_8 | |
| parameters: | |
| weight: 1.0 | |
| - layer_range: [0, 12] | |
| model: | |
| model: | |
| path: mllm-dev/gpt2_f_experiment_9 | |
| parameters: | |
| weight: 1.0 | |
| ``` | |