Instructions to use saiful9379/BanglaNER_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saiful9379/BanglaNER_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="saiful9379/BanglaNER_BERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("saiful9379/BanglaNER_BERT") model = AutoModelForTokenClassification.from_pretrained("saiful9379/BanglaNER_BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from saiful9379/BanglaNER_BERT: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/saiful9379/BanglaNER_BERT/resolve/main/model.safetensors
- Command line
-
hf download hf://saiful9379/BanglaNER_BERT/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/saiful9379/BanglaNER_BERT/resolve/main/model.safetensors
440 MB
- Xet hash:
- 53682115207cb6c379bb1a145d22fc295717d1125448f83a54d76d61b6088426
- Size of remote file:
- 440 MB
- SHA256:
- 416d8f165f3b749294f341fc026774eaed11e53774c90f09bfd55970643dae95
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