Instructions to use promforge/output_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use promforge/output_dir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="promforge/output_dir")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("promforge/output_dir") model = AutoModelForSequenceClassification.from_pretrained("promforge/output_dir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Sharuka Thirimanne commited on
Training in progress, step 50
Browse files
model.safetensors
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runs/Apr11_14-35-54_d5b3267203c8/events.out.tfevents.1712846155.d5b3267203c8.5795.0
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training_args.bin
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