Instructions to use billfass/my_bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use billfass/my_bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="billfass/my_bert_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("billfass/my_bert_model") model = AutoModelForMaskedLM.from_pretrained("billfass/my_bert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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BertModel and tokenizer trained on epoch 10
billfass6181cb1 -
Initial commit of BertModel and tokenizer
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Initial commit of BertModel and tokenizer
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Initial commit of BertModel and tokenizer
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Initial commit of BertModel and tokenizer
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Initial commit of BertModel and tokenizer
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Initial commit of BertModel and tokenizer
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Upload tokenizer
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Push model using huggingface_hub.
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initial commit
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