Instructions to use postbot/bert_uncased_tiny-multi-emails-hq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use postbot/bert_uncased_tiny-multi-emails-hq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="postbot/bert_uncased_tiny-multi-emails-hq")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("postbot/bert_uncased_tiny-multi-emails-hq") model = AutoModelForMaskedLM.from_pretrained("postbot/bert_uncased_tiny-multi-emails-hq") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- generation_config.json +5 -0
- pytorch_model.bin +1 -1
generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 0,
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"transformers_version": "4.27.0.dev0"
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0c1398a8034ec2680f73aafa3a929dd5bbc59db0fe3b5e383e300ef130ae890
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size 17685298
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