Instructions to use transformersbook/bert-base-uncased-issues-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transformersbook/bert-base-uncased-issues-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="transformersbook/bert-base-uncased-issues-128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("transformersbook/bert-base-uncased-issues-128") model = AutoModelForMaskedLM.from_pretrained("transformersbook/bert-base-uncased-issues-128") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ba3a5a6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ed11f749dba24548f319bb17e33f7ec223620f9d095057b767e0205c4244b30f
size 438141995
|