Instructions to use catofnull/BERT-fold1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use catofnull/BERT-fold1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="catofnull/BERT-fold1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("catofnull/BERT-fold1") model = AutoModelForMaskedLM.from_pretrained("catofnull/BERT-fold1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddfbeccfdca0a685e9a4392fb5c746b01deff3b12e2f5d16ff144157f3e8a5b6
- Size of remote file:
- 268 MB
- SHA256:
- 06449ce41cb59bd26e50c3e0c07e0d4f8e24a1fe85e88b7360545852f465fad9
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