Fill-Mask
Transformers
Safetensors
Bengali
distilbert
bengali
bangla
BnLM-F
bnlm
bangla-model
small-bangla-model
bengali-nlp
bnlp
low-resource
masked-language-modeling
pretrained
language-model
Instructions to use nahid-hub/BnLM-F-135m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nahid-hub/BnLM-F-135m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nahid-hub/BnLM-F-135m")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nahid-hub/BnLM-F-135m") model = AutoModelForMaskedLM.from_pretrained("nahid-hub/BnLM-F-135m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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