Instructions to use kSaluja/new-test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kSaluja/new-test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kSaluja/new-test-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kSaluja/new-test-model") model = AutoModelForTokenClassification.from_pretrained("kSaluja/new-test-model") - Notebooks
- Google Colab
- Kaggle
Training complete
Browse files
pytorch_model.bin
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runs/Apr25_12-49-25_164531c0b322/events.out.tfevents.1650890991.164531c0b322.72.0
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