Instructions to use amanm27/bert-base-uncased-wiki-scouting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amanm27/bert-base-uncased-wiki-scouting with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amanm27/bert-base-uncased-wiki-scouting")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("amanm27/bert-base-uncased-wiki-scouting") model = AutoModelForMaskedLM.from_pretrained("amanm27/bert-base-uncased-wiki-scouting") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e089815364a982c5e661b094cda69bfb5a948d24dd35af2ba80e092ed0abd27
- Size of remote file:
- 438 MB
- SHA256:
- c2bc86ddcc74486abc109cfe422f897f563cfc743c8350a8f46249149a04c688
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