Instructions to use Cabooose/specific_bengali_language_token_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cabooose/specific_bengali_language_token_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Cabooose/specific_bengali_language_token_classification_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Cabooose/specific_bengali_language_token_classification_model") model = AutoModelForTokenClassification.from_pretrained("Cabooose/specific_bengali_language_token_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Cabooose/specific_bengali_language_token_classification_model: direct link, hf CLI and curl.
- Browser
- Download file 6.41 MB
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https://huggingface.co/Cabooose/specific_bengali_language_token_classification_model/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://Cabooose/specific_bengali_language_token_classification_model@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Cabooose/specific_bengali_language_token_classification_model/resolve/refs%2Fpr%2F1/tokenizer.json
6.41 MB
File too large to display, you can check the raw version instead.