Instructions to use codymd/bert-base-uncased-grammar-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codymd/bert-base-uncased-grammar-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="codymd/bert-base-uncased-grammar-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("codymd/bert-base-uncased-grammar-ner") model = AutoModelForTokenClassification.from_pretrained("codymd/bert-base-uncased-grammar-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03b955dc8b645dab2a6fe77ddfefe17e3a558c37ad2e544c17f531720c7f09f8
- Size of remote file:
- 5.3 kB
- SHA256:
- b0652214a44dd34e8b6c9dda375d7c44a9fb9ca509a02f4ca662f6432266dd72
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