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")# 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
File size: 127 Bytes
113065a | 1 2 3 4 5 6 7 8 | # Experiment Summary
**Best Run:** run_swift_hawk
**Val F1:** 0.891
**Val Loss:** 0.287
**Epoch:** 7
**Learning Rate:** 2e-05
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