Instructions to use tashfiq61/bengali-summarizer-mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tashfiq61/bengali-summarizer-mt5 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="tashfiq61/bengali-summarizer-mt5")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tashfiq61/bengali-summarizer-mt5") model = AutoModelForSeq2SeqLM.from_pretrained("tashfiq61/bengali-summarizer-mt5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2dd0b10686ecb0c58e614b2d5eee8ffa059689b0b7b1bcce640f6b3faea9e83
- Size of remote file:
- 1.2 GB
- SHA256:
- 1c69c2522529552c7f9b4d0d46fe624661967a190fd75b9b9e19393b56524a63
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