Instructions to use Kowsher/bert-base-bangla-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kowsher/bert-base-bangla-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Kowsher/bert-base-bangla-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Kowsher/bert-base-bangla-ner") model = AutoModelForTokenClassification.from_pretrained("Kowsher/bert-base-bangla-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8522359ced30fa7ef7d5d038db0e82205c69cc2a35ddc6f059147639642a100
- Size of remote file:
- 655 MB
- SHA256:
- 8558f73eb6a25dc4931e2b3250c502bf847dba6f4e25c61181ce22a509fb5876
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