Instructions to use nairoj/Bert_ANT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nairoj/Bert_ANT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nairoj/Bert_ANT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nairoj/Bert_ANT") model = AutoModelForMaskedLM.from_pretrained("nairoj/Bert_ANT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78624ea06c88a480b1f224d4309b4c7923a140b3a4a9d5abd0d0f49c832a64da
- Size of remote file:
- 1.34 GB
- SHA256:
- 70a933492ffc18fafa0f7f2cbd3a00886e520abb961ba5f99296886ff53358d6
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