Instructions to use shahidul034/Bangla_Masked_Language_Model1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahidul034/Bangla_Masked_Language_Model1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shahidul034/Bangla_Masked_Language_Model1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shahidul034/Bangla_Masked_Language_Model1") model = AutoModelForMaskedLM.from_pretrained("shahidul034/Bangla_Masked_Language_Model1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shahidul034/Bangla_Masked_Language_Model1: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/shahidul034/Bangla_Masked_Language_Model1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shahidul034/Bangla_Masked_Language_Model1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shahidul034/Bangla_Masked_Language_Model1/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 02156de608dcbbc36756add241fc5e9fc6175acfcec4401d6881ae6e5d9116e1
- Size of remote file:
- 443 MB
- SHA256:
- 88dbf405faad3833630938c9858de0695d9e9bff6751f672a1199894b75813fa
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