Instructions to use csebuetnlp/banglabert_large_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csebuetnlp/banglabert_large_generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="csebuetnlp/banglabert_large_generator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/banglabert_large_generator") model = AutoModelForMaskedLM.from_pretrained("csebuetnlp/banglabert_large_generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from csebuetnlp/banglabert_large_generator: direct link, hf CLI and curl.
- Browser
- Download file 211 MB
-
https://huggingface.co/csebuetnlp/banglabert_large_generator/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://csebuetnlp/banglabert_large_generator/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/csebuetnlp/banglabert_large_generator/resolve/main/pytorch_model.bin
211 MB
- Xet hash:
- a545e5ffe74d179a9b5c8f31a6bc93b65e62bda48150f0690aecb80510d0c8dc
- Size of remote file:
- 211 MB
- SHA256:
- 2b25a4914921adfdc76b989744c510021325b1b125b993c2ee12aa868f12ac59
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