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MustEr
/

bert_locked

Model card Files Files and versions

Instructions to use MustEr/bert_locked with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MustEr/bert_locked with Transformers:

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

pipe = pipeline("fill-mask", model="MustEr/bert_locked")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("MustEr/bert_locked")
model = AutoModelForMaskedLM.from_pretrained("MustEr/bert_locked")

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="MustEr/bert_locked")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("MustEr/bert_locked")
model = AutoModelForMaskedLM.from_pretrained("MustEr/bert_locked")

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

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