Instructions to use DunnBC22/bert-base-uncased-Masked_Language_Modeling-Reddit_Comments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/bert-base-uncased-Masked_Language_Modeling-Reddit_Comments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DunnBC22/bert-base-uncased-Masked_Language_Modeling-Reddit_Comments")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DunnBC22/bert-base-uncased-Masked_Language_Modeling-Reddit_Comments") model = AutoModelForMaskedLM.from_pretrained("DunnBC22/bert-base-uncased-Masked_Language_Modeling-Reddit_Comments") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cc0339e8f6033a51e89912e209e3965a1e58add50c17a144d5464c3aa3a8085
- Size of remote file:
- 3.64 kB
- SHA256:
- 792da0b7107e443b131c7993fb18a8f8deb98262891c2189021631a444791a92
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