Instructions to use fastpixels/odia-tutor-e07-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fastpixels/odia-tutor-e07-checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fastpixels/odia-tutor-e07-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
sarvam1-sft/checkpoint-1500/: drop the resume state (a newer checkpoint has its own)
Browse files
sarvam1-sft/checkpoint-1500/optimizer.pt
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sarvam1-sft/checkpoint-1500/rng_state.pth
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sarvam1-sft/checkpoint-1500/scheduler.pt
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size 1465
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