Instructions to use shahidul034/Bangla_Masked_Language_Model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahidul034/Bangla_Masked_Language_Model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shahidul034/Bangla_Masked_Language_Model2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shahidul034/Bangla_Masked_Language_Model2") model = AutoModelForMaskedLM.from_pretrained("shahidul034/Bangla_Masked_Language_Model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("shahidul034/Bangla_Masked_Language_Model2")
model = AutoModelForMaskedLM.from_pretrained("shahidul034/Bangla_Masked_Language_Model2", device_map="auto")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shahidul034/Bangla_Masked_Language_Model2")