Instructions to use SinaLab/ArabicWojood-FlatNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SinaLab/ArabicWojood-FlatNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SinaLab/ArabicWojood-FlatNER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SinaLab/ArabicWojood-FlatNER") model = AutoModelForMaskedLM.from_pretrained("SinaLab/ArabicWojood-FlatNER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update config.json
Verified signature48a5983 -
Upload tag_vocab.pkl
Verified signatureccc2791 -
Rename tag_vocab.pkl to tag_vocab_arc.pkl
Verified signatured99186f -
Rename model.pt to pytorch_model.bin
Verified signature1cc6ccb -
Rename pytorch_model.bin to pytorch_model_arch.bin
Verified signature5b29b2c -
Upload model.pt
Verified signaturef2b7225 -
Update config.json
Verified signature86a5825 -
Update config.json
Verified signaturef06024c
-
Upload 3 files
Verified signatureb0fec46 -
Delete vocab.txt
Verified signature4f36f26 -
Delete tokenizer_config.json
Verified signature136965e -
Delete tokenizer.json
Verified signatureaaefc27 -
Update README.md
Verified signature14cf2df -
Update config.json
Verified signature0715fa0 -
Rename checkpoint_3.pt to pytorch_model.bin
Verified signatureb5da201 -
flat ner
a8e607d -
Delete pytorch_model.bin
Verified signature3d53eb5
-
Update config.json
Verified signature3638d50 -
Update config.json
Verified signature72b3224
-
Update config.json
Verified signature8259975 -
Rename flat.pt to pytorch_model.bin
Verified signature1b238ba -
Update config.json
Verified signature7a18586 -
flatmodel
ada12ef -
Upload 6 files
Verified signatured33c9e7
-
initial commit
Verified signature7a5087b