Instructions to use maveriq/mybert-base-32k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maveriq/mybert-base-32k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="maveriq/mybert-base-32k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("maveriq/mybert-base-32k") model = AutoModelForMaskedLM.from_pretrained("maveriq/mybert-base-32k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b17d2264d7e8d9e704df0dfebfa83b6b5cfbed7e497f076bf1eed593d4531bce
- Size of remote file:
- 438 MB
- SHA256:
- e16f00109061eb2691408d29d84d2961a48ed4ec7a4c778a07f541d340500270
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