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:
- f15b2a823a11d1785065f7b002a8fc1819a5c3de4c31807056627bfb21d46e2a
- Size of remote file:
- 438 MB
- SHA256:
- 49906e8320712190520ec97c39575d645ea3310e7b5cfaa65eb2253afde61aa8
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