Instructions to use ArunaSaraswathy/tbert_ner_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArunaSaraswathy/tbert_ner_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArunaSaraswathy/tbert_ner_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArunaSaraswathy/tbert_ner_test") model = AutoModelForTokenClassification.from_pretrained("ArunaSaraswathy/tbert_ner_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ArunaSaraswathy/tbert_ner_test: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/ArunaSaraswathy/tbert_ner_test/resolve/main/tokenizer.json
- Command line
-
hf download hf://ArunaSaraswathy/tbert_ner_test/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ArunaSaraswathy/tbert_ner_test/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.