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.model from emonHasan01/bangla-summarizer-pro: direct link, hf CLI and curl.
- Browser
- Download file 4.69 MB
-
https://huggingface.co/emonHasan01/bangla-summarizer-pro/resolve/main/tokenizer.model
- Command line
-
hf download hf://emonHasan01/bangla-summarizer-pro/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/emonHasan01/bangla-summarizer-pro/resolve/main/tokenizer.model
4.69 MB
- Xet hash:
- f6aa6b6d77b66c0b5905517df9e5261c32195192839dd05e71e37d6b89933074
- Size of remote file:
- 4.69 MB
- SHA256:
- 1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
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