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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from MohammadOthman/megatron-gpt2-classification: direct link, hf CLI and curl.
- Browser
- Download file 999 kB
-
https://huggingface.co/MohammadOthman/megatron-gpt2-classification/resolve/main/vocab.json
- Command line
-
hf download hf://MohammadOthman/megatron-gpt2-classification/vocab.json
-
curl -L -o vocab.json https://huggingface.co/MohammadOthman/megatron-gpt2-classification/resolve/main/vocab.json
999 kB
File too large to display, you can check the raw version instead.