Fill-Mask
Transformers
TensorFlow
English
bert
pretraining
generated_from_keras_callback
NLP
wikitext-2-raw-v1
Instructions to use PreyumKr/pretrained-bertbase-wikitext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PreyumKr/pretrained-bertbase-wikitext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="PreyumKr/pretrained-bertbase-wikitext")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("PreyumKr/pretrained-bertbase-wikitext") model = AutoModelForPreTraining.from_pretrained("PreyumKr/pretrained-bertbase-wikitext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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tags:
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- generated_from_keras_callback
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- wikitext
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- NLP
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model-index:
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- name: pretrained-bertbase-wikitext
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results: []
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pipeline_tag:
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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tags:
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- generated_from_keras_callback
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- NLP
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- wikitext-2-raw-v1
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model-index:
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- name: pretrained-bertbase-wikitext
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results: []
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pipeline_tag: fill-mask
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datasets:
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- wikitext
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language:
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- en
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metrics:
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- accuracy
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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