Instructions to use mmaguero/gn-bert-small-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmaguero/gn-bert-small-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mmaguero/gn-bert-small-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mmaguero/gn-bert-small-cased") model = AutoModelForMaskedLM.from_pretrained("mmaguero/gn-bert-small-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abff0121722048798051b25202c13040b3ca7670b0a101406e77c304b2210587
- Size of remote file:
- 1.71 kB
- SHA256:
- 1bfdb909831f16761af7abaf30b3fcafb610b064fcc4fdbc98744558113457e3
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