Instructions to use billfass/my_bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use billfass/my_bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="billfass/my_bert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("billfass/my_bert_model") model = AutoModelForMaskedLM.from_pretrained("billfass/my_bert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea62248ce0fedb673be3f626376f10cd18a54389dc8be16290b7081693d50e89
- Size of remote file:
- 712 MB
- SHA256:
- 907bb5bb5a7dccdb5eaccaabc22e03351c214de253e5d5c575faed3ce64b78b8
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