Summarization
Transformers
ONNX
Safetensors
Bengali
gemma3_text
text-generation
bangla
bengali
gemma3
unsloth
full-finetune
Eval Results (legacy)
text-generation-inference
Instructions to use emonHasan01/bangla-summarizer-pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emonHasan01/bangla-summarizer-pro with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="emonHasan01/bangla-summarizer-pro")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("emonHasan01/bangla-summarizer-pro") model = AutoModelForCausalLM.from_pretrained("emonHasan01/bangla-summarizer-pro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from emonHasan01/bangla-summarizer-pro: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/emonHasan01/bangla-summarizer-pro/resolve/main/tokenizer.json
- Command line
-
hf download hf://emonHasan01/bangla-summarizer-pro/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/emonHasan01/bangla-summarizer-pro/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 31e54fe18491af1cd61eaab0fb8c2e115e196eb6837bf76204b92fb46702f7c1
- Size of remote file:
- 33.4 MB
- SHA256:
- a6c776bcef3fcea90b4244ef4dafa43ec828ea9f23a286a5be6bd3c209efe810
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