Instructions to use Geotrend/bert-base-lt-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-lt-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-lt-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-lt-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-lt-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Geotrend/bert-base-lt-cased: direct link, hf CLI and curl.
- Browser
- Download file 394 MB
-
https://huggingface.co/Geotrend/bert-base-lt-cased/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Geotrend/bert-base-lt-cased@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Geotrend/bert-base-lt-cased/resolve/refs%2Fpr%2F1/pytorch_model.bin
394 MB
- Xet hash:
- bc8d6c49c21b3f362528582c3d481646b7b7c0fcdad070a6e9f534be1126d8fb
- Size of remote file:
- 394 MB
- SHA256:
- 989033211c9bdbe7ad11ac9f477a2eac28a2edea2cb3566cd42ae67ea568bd8b
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