Instructions to use HooshvareLab/bert-base-parsbert-ner-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HooshvareLab/bert-base-parsbert-ner-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HooshvareLab/bert-base-parsbert-ner-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-base-parsbert-ner-uncased") model = AutoModelForTokenClassification.from_pretrained("HooshvareLab/bert-base-parsbert-ner-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
upload flax model
3d87e20 -
allow flax
7d3e187
-
Add tags
cae06cf
-
Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/HooshvareLab/bert-base-parsbert-ner-uncased/README.md1c7f94b
-
Update vocab.txt
0f111ea -
Update tf_model.h5
9c7fa60 -
Update tokenizer_config.json
f79ddc1 -
Update training_args.bin
1028521 -
Update pytorch_model.bin
f28a16c -
Update special_tokens_map.json
00bcaef -
Update config.json
90f0f1a -
Update eval_results.txt
4a8ba36 -
Update test_predictions.txt
61b7f14 -
Update test_results.txt
c92c5ac -
initial commit
e65fee4