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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be4903167aa3d300c1881b245f7e978deb90da2d530b78d80579a1aee09ecaea
- Size of remote file:
- 1.06 kB
- SHA256:
- 3ff10c6644cdbfbcb19954e445af4e49f3a9e1af34a8dc062ab9878b64f96b3f
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