Instructions to use rushikeshwalode/token_classification_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rushikeshwalode/token_classification_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rushikeshwalode/token_classification_NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rushikeshwalode/token_classification_NER") model = AutoModelForTokenClassification.from_pretrained("rushikeshwalode/token_classification_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
509ca7a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7c3d457524699f11c3e7480427c8d8f1c6c1c69e398e82493f014e99fae6ac9b
size 5777
|