Instructions to use Vrushali/model_abv_distil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vrushali/model_abv_distil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Vrushali/model_abv_distil")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Vrushali/model_abv_distil") model = AutoModelForTokenClassification.from_pretrained("Vrushali/model_abv_distil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 22
Browse files
pytorch_model.bin
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runs/Jul01_14-00-48_2610360c99c0/events.out.tfevents.1688220053.2610360c99c0.844.0
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