Instructions to use CesarLeblanc/geoplantbert_fill_mask_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CesarLeblanc/geoplantbert_fill_mask_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CesarLeblanc/geoplantbert_fill_mask_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CesarLeblanc/geoplantbert_fill_mask_model") model = AutoModelForMaskedLM.from_pretrained("CesarLeblanc/geoplantbert_fill_mask_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44ab0016c95ad7d93e941085316668a7b3ebf6b0576796e3be84602260b357d9
- Size of remote file:
- 4.66 kB
- SHA256:
- 196e9e31614fafbeea8f57b2115ad35c193f80805bcba7d598c2148b5fa73497
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