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:
- f6978e6bc67529e1ff3551192c10a7103990f78c7e1efbab655be84146c17c30
- Size of remote file:
- 19.3 MB
- SHA256:
- 52822cc6150e9ecc88fb762e325a12c21dcb36d6e8edecfe1c8881cb73364d27
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