Instructions to use nikitastheo/LTG-BERT-tiny100m-nogen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikitastheo/LTG-BERT-tiny100m-nogen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nikitastheo/LTG-BERT-tiny100m-nogen", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("nikitastheo/LTG-BERT-tiny100m-nogen", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 295d226b17a6d0ce35fd412a2729db77ade7e1a4e73c57849e90e417000d7466
- Size of remote file:
- 418 MB
- SHA256:
- 0bf8b4080af4d715e363f965a897618ba898a6eddd30a7e7002be0c6b80a07a3
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