Instructions to use keles/ref_str_x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keles/ref_str_x with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keles/ref_str_x")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("keles/ref_str_x") model = AutoModelForSequenceClassification.from_pretrained("keles/ref_str_x", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5000
Browse files
pytorch_model.bin
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runs/Jun03_23-39-15_af12c8627d87/events.out.tfevents.1685835576.af12c8627d87.260.0
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