Instructions to use pandyamarut/SeedCoder-DPO-NEW with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pandyamarut/SeedCoder-DPO-NEW with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pandyamarut/SeedCoder-DPO-NEW", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| Loading dataset from disk: 0%| | 0/133 [00:00<?, ?it/s] Loading dataset from disk: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 133/133 [00:00<00:00, 31376.48it/s] | |
| Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s] Loading checkpoint shards: 25%|βββββββββββββββββββββββββββββββββββββ | 1/4 [00:01<00:03, 1.14s/it] Loading checkpoint shards: 50%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 2/4 [00:02<00:02, 1.09s/it] Loading checkpoint shards: 75%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 3/4 [00:03<00:01, 1.07s/it] Loading checkpoint shards: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 4/4 [00:03<00:00, 1.22it/s] Loading checkpoint shards: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 4/4 [00:03<00:00, 1.09it/s] | |
| Time to load cpu_adam op: 2.310872793197632 seconds | |