Instructions to use mllm-dev/gpt2_finetune_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/gpt2_finetune_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/gpt2_finetune_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/gpt2_finetune_2") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/gpt2_finetune_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/Mar05_21-56-50_lambda-hyperplane02/events.out.tfevents.1709704667.lambda-hyperplane02.478060.0
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