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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8d71f7d17c06cb33da62100cd6055373977735f4dedc30b31c139bdc03aebf0
- Size of remote file:
- 17.7 MB
- SHA256:
- e0c1398a8034ec2680f73aafa3a929dd5bbc59db0fe3b5e383e300ef130ae890
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