Instructions to use codymd/albert-base-v2-grammar-ner-generic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codymd/albert-base-v2-grammar-ner-generic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="codymd/albert-base-v2-grammar-ner-generic")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("codymd/albert-base-v2-grammar-ner-generic") model = AutoModelForTokenClassification.from_pretrained("codymd/albert-base-v2-grammar-ner-generic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0dab84fb935de7b545cfd89324e7ca7c62cda446bf9b1298ae0b808b3cb736e7
- Size of remote file:
- 5.3 kB
- SHA256:
- 4d99f867605616c94ebc6c1ef048aa7da46fcab84d4d3176b1031cf0b7d67fea
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