Instructions to use MBMMurad/BanglaBERT_Person_Name_Extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MBMMurad/BanglaBERT_Person_Name_Extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MBMMurad/BanglaBERT_Person_Name_Extractor")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MBMMurad/BanglaBERT_Person_Name_Extractor") model = AutoModelForTokenClassification.from_pretrained("MBMMurad/BanglaBERT_Person_Name_Extractor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MBMMurad/BanglaBERT_Person_Name_Extractor: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/MBMMurad/BanglaBERT_Person_Name_Extractor/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MBMMurad/BanglaBERT_Person_Name_Extractor/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MBMMurad/BanglaBERT_Person_Name_Extractor/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- 84ce4e7ab87ceba34f1e75f807fd29742725b0b8700d891185a32ee71f065a92
- Size of remote file:
- 440 MB
- SHA256:
- 37c89104ea1895e21c5054f72f495647fbbdf28fa29d5ba1e305f86234d9d760
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