Instructions to use vignesh-dhanraj/bert_mlm_nsp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vignesh-dhanraj/bert_mlm_nsp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("vignesh-dhanraj/bert_mlm_nsp") model = AutoModelForPreTraining.from_pretrained("vignesh-dhanraj/bert_mlm_nsp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a19bdfd4783f686a358b97d307c7366d4beff7a566c49e9c1265885da1950f95
- Size of remote file:
- 5.14 kB
- SHA256:
- 1cf008286eb9fc7fc5bcd76eb6174cc42ee818b220c1dc9314fe91ac944b8661
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