Instructions to use wennycooper/token-classification-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wennycooper/token-classification-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wennycooper/token-classification-bert-base-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wennycooper/token-classification-bert-base-uncased") model = AutoModelForTokenClassification.from_pretrained("wennycooper/token-classification-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1500
Browse files- pytorch_model.bin +1 -1
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