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
metadata
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.
Merge Details
Merge Method
This model was merged using the linear merge method.
Models Merged
The following models were included in the merge:
- 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
Configuration
The following YAML configuration was used to produce this model:
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