Instructions to use mllm-dev/gpt2_m_experiment_dare_linear_1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/gpt2_m_experiment_dare_linear_1000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/gpt2_m_experiment_dare_linear_1000")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/gpt2_m_experiment_dare_linear_1000") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/gpt2_m_experiment_dare_linear_1000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload folder using huggingface_hub
Verified signature5f1a76f -
Upload folder using huggingface_hub
Verified signature761111c -
Upload folder using huggingface_hub
Verified signaturead47923 -
Upload folder using huggingface_hub
Verified signature740022f -
Upload folder using huggingface_hub
Verified signature7da5612
-
Upload folder using huggingface_hub
Verified signature9083620 -
initial commit
Verified signaturebe03daf