Instructions to use vsty/weights_bert_mlm_epoch50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vsty/weights_bert_mlm_epoch50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vsty/weights_bert_mlm_epoch50")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vsty/weights_bert_mlm_epoch50") model = AutoModelForMaskedLM.from_pretrained("vsty/weights_bert_mlm_epoch50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2feefbb30720c2465d2c95ec0c5dbfb78327f6ea79a9c65423077580bbe3f896
- Size of remote file:
- 440 MB
- SHA256:
- f513f5dd9d975ec0720082b72690616dc19145b4f7585c1785efbffc1b512014
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