Instructions to use sravanthib/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sravanthib/testing with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "sravanthib/testing") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20
Browse files- metrics.json +1 -1
- training_args.bin +2 -2
metrics.json
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{"run_name": "./custom_deepspeed", "train_runtime": 274.
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{"run_name": "./custom_deepspeed", "train_runtime": 274.077, "train_samples_per_second": 11.676, "train_steps_per_second": 0.073, "total_flos": 3.848728354383462e+16, "train_loss": 1.6227708816528321, "epoch": 0.0365296803652968}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0b4ef0ada0bb7702fd24371930da3d2298189a4d27c86b3c9aac6c85f106d575
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size 6289
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