Instructions to use postbot/bert_uncased_tiny_2xthicc-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_2xthicc-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_2xthicc-multi-emails-hq")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("postbot/bert_uncased_tiny_2xthicc-multi-emails-hq") model = AutoModelForMaskedLM.from_pretrained("postbot/bert_uncased_tiny_2xthicc-multi-emails-hq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 330c5548754da6af9a313048b938030c2aeb867025b831c82e1c13ea697329fc
- Size of remote file:
- 3.71 kB
- SHA256:
- b119476c02463af896c8719c008960299851c78f28711897f5d38a2aab043bc3
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