Instructions to use Geotrend/bert-base-en-lt-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-lt-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-lt-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-lt-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-lt-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b9d77b9c2f8f7cce978502a460f74d4c1ace508e5ccfb6c5a15ba3e15a4407b
- Size of remote file:
- 442 MB
- SHA256:
- 9f27e1c7953484e0aed4ae01e4cdf6a2ca423757acb2fd174726c1550b68e49b
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