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")# 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
File size: 129 Bytes
2209571 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b042e5ae7d7611818d1770cfc47826ca1cb0dc75aee2b87d706c8dce12f34558
size 4155
|