Instructions to use dusersad12/BestCheckpoint-ExpRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/BestCheckpoint-ExpRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/BestCheckpoint-ExpRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("dusersad12/BestCheckpoint-ExpRepo") model = AutoModelForCausalLM.from_pretrained("dusersad12/BestCheckpoint-ExpRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload experiment_summary.md with huggingface_hub
Browse files- experiment_summary.md +7 -0
experiment_summary.md
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# Experiment Summary
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**Best Run:** run_swift_hawk
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**Val F1:** 0.891
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**Val Loss:** 0.287
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**Epoch:** 7
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**Learning Rate:** 2e-05
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