Instructions to use MohammadOthman/megatron-gpt2-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohammadOthman/megatron-gpt2-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MohammadOthman/megatron-gpt2-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MohammadOthman/megatron-gpt2-classification") model = AutoModelForSequenceClassification.from_pretrained("MohammadOthman/megatron-gpt2-classification") - Notebooks
- Google Colab
- Kaggle
Megatron-GPT2-Classification
Description
The megatron-gpt2-classification model is a language model trained using Megatron and Accelerate frameworks. It has been fine-tuned for classification tasks and benefits from distributed training across 4 GPUs (RTX 4070).
Key Features
- Trained with Megatron and Accelerate.
- Distributed training on 4 GPUs (RTX 4070).
- Fine-tuned for classification tasks.
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