How to use SOTAagi2030/MidTraining-Checkpoint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SOTAagi2030/MidTraining-Checkpoint")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SOTAagi2030/MidTraining-Checkpoint") model = AutoModel.from_pretrained("SOTAagi2030/MidTraining-Checkpoint", device_map="auto")
https://huggingface.co/SOTAagi2030/MidTraining-Checkpoint/resolve/main/config.json
hf download hf://SOTAagi2030/MidTraining-Checkpoint/config.json
curl -L -o config.json https://huggingface.co/SOTAagi2030/MidTraining-Checkpoint/resolve/main/config.json
