Instructions to use raqibcodes/c2c-checkpoints-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raqibcodes/c2c-checkpoints-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("raqibcodes/c2c-checkpoints-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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"best_global_step": 75,
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"best_metric": 0.002200173679739237,
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"best_model_checkpoint": "./c2c_gemma4_e4b_qlora_checkpoint/checkpoint-75",
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