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JayBDev
/

dummy-disregard

Model card Files Files and versions

Instructions to use JayBDev/dummy-disregard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use JayBDev/dummy-disregard with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="JayBDev/dummy-disregard")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("JayBDev/dummy-disregard")
model = AutoModelForMaskedLM.from_pretrained("JayBDev/dummy-disregard")

Notebooks
Google Colab
Kaggle

How to use from the

Use from the

Transformers library

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="JayBDev/dummy-disregard")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("JayBDev/dummy-disregard")
model = AutoModelForMaskedLM.from_pretrained("JayBDev/dummy-disregard")

Quick Links

Read model documentation
Read docs on high-level-pipeline
Read our learning resources

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Safetensors

Model size

0.1B params

Tensor type

F32

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