Instructions to use shahidul034/Bangla_Masked_Language_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahidul034/Bangla_Masked_Language_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shahidul034/Bangla_Masked_Language_Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shahidul034/Bangla_Masked_Language_Model") model = AutoModelForMaskedLM.from_pretrained("shahidul034/Bangla_Masked_Language_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shahidul034/Bangla_Masked_Language_Model: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/shahidul034/Bangla_Masked_Language_Model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shahidul034/Bangla_Masked_Language_Model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shahidul034/Bangla_Masked_Language_Model/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 3bdfda5e84654697c3cd19a38719b7e4a2efc09f2e28cfb3fcef1aeba72878cd
- Size of remote file:
- 443 MB
- SHA256:
- bc63aaec701f978eb53fb5a9efd206cb2b1369c27eb57562e5c984abdb9d2371
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