Instructions to use dusersad12/NexusLM-EvalRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/NexusLM-EvalRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dusersad12/NexusLM-EvalRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dusersad12/NexusLM-EvalRepo") model = AutoModel.from_pretrained("dusersad12/NexusLM-EvalRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
19 days ago
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Upload NexusLM best checkpoint (step_900) with benchmark evaluation results
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Upload best checkpoint (step_720, eval_accuracy=0.714) and README with benchmark scores
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Upload NexusLM best checkpoint step_800 (highest eval_accuracy 0.752)
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